91 Data Science Manager jobs in Los Angeles
Data Science Manager, GenAI - SFL Scientific
90006 Los Angeles, California
Deloitte
Posted 7 days ago
Job Viewed
Job Description
Data Science Manager, GenAI - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
Recruiting for this role ends 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, you will develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases. The Data Science Manager will provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases. Data Science Managers are also responsible for but not limited to:
+ Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines
+ Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development
+ Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles
The TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions
+ Experience in a client-facing role or internal AI product development role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#MonitorDeloitte
#DeloitteJobs
#StrategyConsulting
#DeloitteStrategy
#Strategy26
#SFL26
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
Recruiting for this role ends 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, you will develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases. The Data Science Manager will provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases. Data Science Managers are also responsible for but not limited to:
+ Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines
+ Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development
+ Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles
The TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions
+ Experience in a client-facing role or internal AI product development role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#MonitorDeloitte
#DeloitteJobs
#StrategyConsulting
#DeloitteStrategy
#Strategy26
#SFL26
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
View Now
0
Data Science Manager, Life Sciences & Healthcare - SFL Scientific
90006 Los Angeles, California
Deloitte
Posted 1 day ago
Job Viewed
Job Description
Data Science Manager, Healthcare & Life Sciences - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.
We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.
Recruiting for this role ends on 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred Qualifications:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions for healthcare or life sciences
+ Experience in a client-facing role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.
We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.
Recruiting for this role ends on 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred Qualifications:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions for healthcare or life sciences
+ Experience in a client-facing role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
View Now
1
Pharmacovigilance Data Analysis Manager
90006 Los Angeles, California
Grifols Shared Services North America, Inc
Posted 13 days ago
Job Viewed
Job Description
Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.
**We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunity fostering an inclusive environment where diversity makes us be outstanding.**
Help us lead one of the world's largest pharmaceutical companies. We are a world leader in plasma-derived medicines with a presence in more than 100 countries, and a growing global team of over 20.000 people. That's why we need a _Pharmacovigilance Data Analysis Manager_ like you.
Role Mission: Provide operational support for global pharmacovigilance activities related to Grifols' investigational and marketed products. Ensure high-quality pharmacovigilance deliverables that comply with global regulatory reporting timelines. Manage project implementation and execution of safety systems, including ongoing business support and continuous improvement initiatives. Act as a key liaison with IT system administrators to validate and test system changes, ensuring compliance and alignment with business needs.
**What your responsibilities will be**
+ Lead and coordinate safety data analysis for aggregate reports preparation, signal management and ad hoc requests.
+ Support drug safety systems through business administration tasks, including database configuration updates, submission rules management and testing with regulatory authorities.
+ Serve as a subject matter expert in delivering and evaluating cost-effective, sustainable solutions that meet business requirements.
+ Manage documentation related to PV systems and applications, including SOPs, WPs, user requirements, functional/ technical specifications and process flow diagrams.
+ Drive change management initiatives to ensure smooth adoption of new processes and support the integration of new applications within the PV team.
+ Collect, prioritize and plan system improvements based on user feedback, while ensuring compliance with regulatory requirements.
+ Act as the primary PV contact for IT-related PV projects.
+ Drive Innovation through AI in Pharmacovigilance: Stay at the forefront of artificial intelligence advancements to identify and evaluate innovative technologies and processes that can enhance pharmacovigilance operations. This includes proactively assessing AI-driven tools and methodologies to improve signal detection, case processing, data analysis and regulatory compliance. Collaborate cross-functionally to pilot and implement solutions that increase efficiency, accuracy, and strategic value in safety monitoring.
**Who you are**
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
+ You have a bachelor's degree in Health Sciences (pharmacy, nursing, medicine, veterinary, etc) or Bioscience (biochemistry, biotechnology, biology, etc). Additional training and/or experience in bioinformatics/biostatistics or data analysis tools (such as R or Power BI).
+ You have at least 4 years of pharmacovigilance experience including management of pharmacovigilance data bases.
+ You have proven knowledge of Good Pharmacovigilance Practices; existing legislation, regulations, guidelines, medical coding and safety-data administration.
+ You are proficient in Windows and MS Office (Excel, PowerPoint, Visio, Word).
+ Familiarity with reporting tools such as Business Objects is strongly preferred.
+ You have knowledge of E2b (R2) and E2b (R3) and to be familiarity with medical terminology, MedDRA, WhoDrug are a plus.
+ You speak fluent Spanish and English.
+ You are proven self-starter with strong work ethic and the ability to exercise good judgment.
+ You must be proactive, results oriented and have strong attention to detail.
+ Strong organizational, analytical and problem-solving skills with the ability to make structured decisions on a routine basis.
+ Strong interpersonal skills with the ability to interact and collaborate with personnel at all levels in a team environment.
+ You possess strong technical writing and communication skills with ability to create and present design proposals, test scripts, execute training sessions and conduct effective meetings.
+ Ability to effectively prioritize and manage multiple tasks to ensure successful completion targeted deadlines.
**What we offer**
It is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.
Information about Grifols is available at If you are interested in joining our company and you have what it takes for such an exciting position, then don't hesitate to apply!
We look forward to receiving your application!
**We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help.**
Grifols is an equal opportunity employer.
**Flexible schedule:** Monday-Thursday 7-10 to 16-19h and Friday 8-15h (with the same flexible start time).
**Benefits package**
**Contract of Employment:** Permanent position
**Flexibility for U Program:** Hybrid
**Location:** Sant Cugat del Vallès (preferably) / Other locations as Los Angeles, Clayton or Dublin will be considered
more about Grifols
**Req ID:**
**Type:** Indefinido tiempo completo
**Job Category:** I + D
**We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunity fostering an inclusive environment where diversity makes us be outstanding.**
Help us lead one of the world's largest pharmaceutical companies. We are a world leader in plasma-derived medicines with a presence in more than 100 countries, and a growing global team of over 20.000 people. That's why we need a _Pharmacovigilance Data Analysis Manager_ like you.
Role Mission: Provide operational support for global pharmacovigilance activities related to Grifols' investigational and marketed products. Ensure high-quality pharmacovigilance deliverables that comply with global regulatory reporting timelines. Manage project implementation and execution of safety systems, including ongoing business support and continuous improvement initiatives. Act as a key liaison with IT system administrators to validate and test system changes, ensuring compliance and alignment with business needs.
**What your responsibilities will be**
+ Lead and coordinate safety data analysis for aggregate reports preparation, signal management and ad hoc requests.
+ Support drug safety systems through business administration tasks, including database configuration updates, submission rules management and testing with regulatory authorities.
+ Serve as a subject matter expert in delivering and evaluating cost-effective, sustainable solutions that meet business requirements.
+ Manage documentation related to PV systems and applications, including SOPs, WPs, user requirements, functional/ technical specifications and process flow diagrams.
+ Drive change management initiatives to ensure smooth adoption of new processes and support the integration of new applications within the PV team.
+ Collect, prioritize and plan system improvements based on user feedback, while ensuring compliance with regulatory requirements.
+ Act as the primary PV contact for IT-related PV projects.
+ Drive Innovation through AI in Pharmacovigilance: Stay at the forefront of artificial intelligence advancements to identify and evaluate innovative technologies and processes that can enhance pharmacovigilance operations. This includes proactively assessing AI-driven tools and methodologies to improve signal detection, case processing, data analysis and regulatory compliance. Collaborate cross-functionally to pilot and implement solutions that increase efficiency, accuracy, and strategic value in safety monitoring.
**Who you are**
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
+ You have a bachelor's degree in Health Sciences (pharmacy, nursing, medicine, veterinary, etc) or Bioscience (biochemistry, biotechnology, biology, etc). Additional training and/or experience in bioinformatics/biostatistics or data analysis tools (such as R or Power BI).
+ You have at least 4 years of pharmacovigilance experience including management of pharmacovigilance data bases.
+ You have proven knowledge of Good Pharmacovigilance Practices; existing legislation, regulations, guidelines, medical coding and safety-data administration.
+ You are proficient in Windows and MS Office (Excel, PowerPoint, Visio, Word).
+ Familiarity with reporting tools such as Business Objects is strongly preferred.
+ You have knowledge of E2b (R2) and E2b (R3) and to be familiarity with medical terminology, MedDRA, WhoDrug are a plus.
+ You speak fluent Spanish and English.
+ You are proven self-starter with strong work ethic and the ability to exercise good judgment.
+ You must be proactive, results oriented and have strong attention to detail.
+ Strong organizational, analytical and problem-solving skills with the ability to make structured decisions on a routine basis.
+ Strong interpersonal skills with the ability to interact and collaborate with personnel at all levels in a team environment.
+ You possess strong technical writing and communication skills with ability to create and present design proposals, test scripts, execute training sessions and conduct effective meetings.
+ Ability to effectively prioritize and manage multiple tasks to ensure successful completion targeted deadlines.
**What we offer**
It is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.
Information about Grifols is available at If you are interested in joining our company and you have what it takes for such an exciting position, then don't hesitate to apply!
We look forward to receiving your application!
**We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help.**
Grifols is an equal opportunity employer.
**Flexible schedule:** Monday-Thursday 7-10 to 16-19h and Friday 8-15h (with the same flexible start time).
**Benefits package**
**Contract of Employment:** Permanent position
**Flexibility for U Program:** Hybrid
**Location:** Sant Cugat del Vallès (preferably) / Other locations as Los Angeles, Clayton or Dublin will be considered
more about Grifols
**Req ID:**
**Type:** Indefinido tiempo completo
**Job Category:** I + D
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2
Machine Learning Engineer
90006 Los Angeles, California
Silvus Technologies
Posted 5 days ago
Job Viewed
Job Description
**THE COMPANY**
**Silvus Technologies** is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever-evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide the vital communications for mission critical applications in the harshest environments from underground tunnels to high altitude balloons.
Silvus StreamCaster® radios are being rapidly adopted by customers all over the world ranging from the U.S Departments of Defense, to International, Federal, State and Local Law Enforcement agencies, all the way to the Super Bowl, Grammys and industry-leading drone, robot, and other unmanned systems manufacturers.
_Wouldn't you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "_ Keeping Our Heroes Connected ( _"?_
Silvus' rapid growth is fueled by a focus on research and innovation and a team of the most passionate, skilled, and creative thinking individuals. _If you are looking for a challenging experience, you owe it to yourself to learn how Silvus can provide a rewarding opportunity that creates a pathway to a fulfilling career._
THE OPPORTUNITY
Silvus is seeking a **_Machine Learning Engineer_** with a strong background in wireless communications to join our innovative _R&D team_ . This role will report to the _R&D Director, Machine Learning_ and will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. The successful individual in this role will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies' headquarters in the heart of vibrant **West Los Angeles,** **CA** and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
+ Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
+ Analyze real-world RF datasets to extract insights and develop predictive models.
+ Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
+ Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
+ Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
+ Participate in performance benchmarking and iterative improvement cycles.
+ Stay current with the latest Machine Learning research for wireless and embedded systems.
REQUIRED QUALIFICATIONS
+ M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
+ Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
+ Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
+ Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
+ Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
+ Proficiency in MATLAB or C/C++ for signal processing algorithm development.
+ Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
+ **Must be a U.S. Citizen** due to clients under U.S. government contracts.
PREFERRED KNOWLEDGE, SKILLS AND ABILITIES
+ Excellent communication and collaboration skills.
+ Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
+ Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
+ Background in adaptive modulation, beamforming, or cognitive radio techniques.
+ Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
+ Experience with GPU acceleration or model optimization for constrained environments.
WORKING CONDITIONS & PHYSICAL REQUIREMENTS
+ Office environment.
+ Outdoor environment for demos.
+ Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
+ While performing the duties of this job, the employee is required to do the following:
+ Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
+ Perform bending and reaching movements to place items on lower and higher shelves.
**COMPENSATION**
_The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate's experience and qualifications._
CA Pay Range
$120,000-$160,000 USD
**NOTE - As a U.S. Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements are needed for some Engineering or R&D roles. This generally does NOT apply to International positions; only job postings for positions located in the U.S. Exceptions will be included in the Required Qualifications section of the posted position.**
**_All Employment is contingent upon the successful clearance of a background check._**
Silvus is proud to be an equal-opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.
_*Silvus does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to Silvus Technologies._
**Silvus Technologies** is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever-evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide the vital communications for mission critical applications in the harshest environments from underground tunnels to high altitude balloons.
Silvus StreamCaster® radios are being rapidly adopted by customers all over the world ranging from the U.S Departments of Defense, to International, Federal, State and Local Law Enforcement agencies, all the way to the Super Bowl, Grammys and industry-leading drone, robot, and other unmanned systems manufacturers.
_Wouldn't you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "_ Keeping Our Heroes Connected ( _"?_
Silvus' rapid growth is fueled by a focus on research and innovation and a team of the most passionate, skilled, and creative thinking individuals. _If you are looking for a challenging experience, you owe it to yourself to learn how Silvus can provide a rewarding opportunity that creates a pathway to a fulfilling career._
THE OPPORTUNITY
Silvus is seeking a **_Machine Learning Engineer_** with a strong background in wireless communications to join our innovative _R&D team_ . This role will report to the _R&D Director, Machine Learning_ and will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. The successful individual in this role will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies' headquarters in the heart of vibrant **West Los Angeles,** **CA** and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
+ Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
+ Analyze real-world RF datasets to extract insights and develop predictive models.
+ Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
+ Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
+ Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
+ Participate in performance benchmarking and iterative improvement cycles.
+ Stay current with the latest Machine Learning research for wireless and embedded systems.
REQUIRED QUALIFICATIONS
+ M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
+ Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
+ Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
+ Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
+ Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
+ Proficiency in MATLAB or C/C++ for signal processing algorithm development.
+ Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
+ **Must be a U.S. Citizen** due to clients under U.S. government contracts.
PREFERRED KNOWLEDGE, SKILLS AND ABILITIES
+ Excellent communication and collaboration skills.
+ Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
+ Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
+ Background in adaptive modulation, beamforming, or cognitive radio techniques.
+ Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
+ Experience with GPU acceleration or model optimization for constrained environments.
WORKING CONDITIONS & PHYSICAL REQUIREMENTS
+ Office environment.
+ Outdoor environment for demos.
+ Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
+ While performing the duties of this job, the employee is required to do the following:
+ Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
+ Perform bending and reaching movements to place items on lower and higher shelves.
**COMPENSATION**
_The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate's experience and qualifications._
CA Pay Range
$120,000-$160,000 USD
**NOTE - As a U.S. Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements are needed for some Engineering or R&D roles. This generally does NOT apply to International positions; only job postings for positions located in the U.S. Exceptions will be included in the Required Qualifications section of the posted position.**
**_All Employment is contingent upon the successful clearance of a background check._**
Silvus is proud to be an equal-opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.
_*Silvus does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to Silvus Technologies._
View Now
3
Lead Machine Learning Engineer
91222 Glendale, California
The Walt Disney Company
Posted 13 days ago
Job Viewed
Job Description
**Disney Entertainment and ESPN Product & Technology**
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think you'd love working here:
+ **Building the future of Disney's media:** Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
+ **Reach, Scale & Impact:** More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News.and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally.
+ **Innovation:** We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.
Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
**Disney Entertainment and ESPN Product & Technology** team is looking for a passionate **Lead Machine Learning Engineer** to drive the security and operation anomaly detection initiatives within the **Commerce, Data,** **and Identity Alliance.**
We're seeking experienced ML engineers to lead on developing and deploying machine learning models that help reduce the security and operation risk for our services. In this role, you'll work with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the security posture of our services.
This team is based out of the New York and the Santa Monica offices, and you will be a key leader helping drive the ML initiatives across the team. You will have an opportunity to learn about the various security challenges of a streaming organization.
**Responsibilities**
+ Design, build, and optimize machine learning models that improve our security posture.
+ Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production.
+ Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics.
+ Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions.
+ Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.
+ Drive data-informed decision-making by presenting findings that highlight security implications.
+ Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities.
+ Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation.
**Minimum Qualifications**
+ Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's degree or PhD is a plus.
+ 7+ years of experience in building, deploying, and evaluating real-world machine learning solutions.
+ Proficiency in Python, R, SQL, and other relevant programming languages.
+ Experience with data wrangling tools (e.g., Pandas, NumPy), databases (e.g., MySQL, PostgreSQL), and big data platforms (e.g., Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub).
+ Expertise in ML libraries such as scikit-learn, SciPy, and related technologies.
+ Strong foundation in statistics, probability, and data modeling techniques.
+ Excellent problem-solving, communication, and collaboration skills.
**Preferred Qualifications**
+ Experience working with Amazon Web Services.
+ Experience with Tableau, Power BI, or similar platforms.
+ Experience building anomaly detection models.
+ Knowledge of software security.
The hiring range for this position in Los Angeles is $202,900 to $72,100 per year, in San Francisco is 222,200 to 297,900 per year, and in New York or Seattle is 212,600 to 285,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
**Job ID:**
**Location:** Glendale,California
**Job Posting Company:** Disney Entertainment and ESPN Product & Technology
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think you'd love working here:
+ **Building the future of Disney's media:** Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
+ **Reach, Scale & Impact:** More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News.and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally.
+ **Innovation:** We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.
Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
**Disney Entertainment and ESPN Product & Technology** team is looking for a passionate **Lead Machine Learning Engineer** to drive the security and operation anomaly detection initiatives within the **Commerce, Data,** **and Identity Alliance.**
We're seeking experienced ML engineers to lead on developing and deploying machine learning models that help reduce the security and operation risk for our services. In this role, you'll work with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the security posture of our services.
This team is based out of the New York and the Santa Monica offices, and you will be a key leader helping drive the ML initiatives across the team. You will have an opportunity to learn about the various security challenges of a streaming organization.
**Responsibilities**
+ Design, build, and optimize machine learning models that improve our security posture.
+ Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production.
+ Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics.
+ Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions.
+ Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.
+ Drive data-informed decision-making by presenting findings that highlight security implications.
+ Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities.
+ Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation.
**Minimum Qualifications**
+ Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's degree or PhD is a plus.
+ 7+ years of experience in building, deploying, and evaluating real-world machine learning solutions.
+ Proficiency in Python, R, SQL, and other relevant programming languages.
+ Experience with data wrangling tools (e.g., Pandas, NumPy), databases (e.g., MySQL, PostgreSQL), and big data platforms (e.g., Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub).
+ Expertise in ML libraries such as scikit-learn, SciPy, and related technologies.
+ Strong foundation in statistics, probability, and data modeling techniques.
+ Excellent problem-solving, communication, and collaboration skills.
**Preferred Qualifications**
+ Experience working with Amazon Web Services.
+ Experience with Tableau, Power BI, or similar platforms.
+ Experience building anomaly detection models.
+ Knowledge of software security.
The hiring range for this position in Los Angeles is $202,900 to $72,100 per year, in San Francisco is 222,200 to 297,900 per year, and in New York or Seattle is 212,600 to 285,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
**Job ID:**
**Location:** Glendale,California
**Job Posting Company:** Disney Entertainment and ESPN Product & Technology
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
View Now
4
Senior Machine Learning Engineer
90001 Los Angeles, California
$155000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly accomplished Senior Machine Learning Engineer to join their innovative and fast-paced team, working entirely remotely. This role is central to developing and deploying cutting-edge machine learning models that drive significant business value across our product lines. You will be responsible for the end-to-end lifecycle of ML models, from data acquisition and feature engineering to model training, validation, deployment, and monitoring. The ideal candidate will have a deep understanding of various ML algorithms, strong programming skills in Python, and extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is essential. Your responsibilities will include architecting scalable ML systems, optimizing model performance, and collaborating closely with data scientists and software engineers to integrate ML solutions into production environments. You will play a key role in identifying new opportunities for leveraging AI and ML to solve complex business problems. We are looking for a proactive problem-solver with exceptional analytical skills, a passion for applied machine learning, and the ability to lead complex projects in a fully remote setting. Strong communication skills are vital for collaborating effectively with cross-functional teams and articulating technical concepts to stakeholders. Join us to build the next generation of intelligent products and shape the future of AI.
Responsibilities:
Responsibilities:
- Design, build, and deploy machine learning models and pipelines.
- Develop and maintain scalable ML systems on cloud platforms.
- Perform data preprocessing, feature engineering, and model training.
- Optimize model performance, accuracy, and efficiency.
- Implement MLOps practices for model deployment, monitoring, and lifecycle management.
- Collaborate with data scientists and software engineers to integrate ML solutions.
- Evaluate and experiment with new ML algorithms and technologies.
- Troubleshoot and resolve issues related to ML models and infrastructure.
- Document ML models, processes, and best practices.
- Contribute to the overall AI/ML strategy and roadmap.
- Master's or Ph.D. in Computer Science, Statistics, or a related quantitative field.
- 5+ years of experience in machine learning engineering or applied data science.
- Proficiency in Python and core ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
- Strong understanding of MLOps principles and tools.
- Experience with big data technologies (e.g., Spark) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities in a remote environment.
Apply Now
5
Principal Machine Learning Engineer
90001 Los Angeles, California
$170000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a Principal Machine Learning Engineer to lead the design, development, and deployment of advanced machine learning systems. This is a hands-on role where you will tackle complex challenges, mentor junior engineers, and drive innovation in ML model development and productionization. You will work on a variety of projects, from building predictive models to developing sophisticated AI solutions that impact millions of users. The ideal candidate possesses a strong theoretical foundation in machine learning and extensive practical experience in building and scaling ML systems in a production environment.
Key Responsibilities:
Qualifications:
This role offers a competitive salary, comprehensive benefits, and the opportunity to work on challenging and impactful ML projects in Los Angeles, California, US . As a remote-first position, you can work from anywhere in the US, contributing to groundbreaking AI advancements.
Key Responsibilities:
- Design, develop, and implement scalable machine learning models and algorithms
- Build and maintain robust ML pipelines for data processing, model training, and inference
- Collaborate with data scientists, software engineers, and product managers to define and deliver ML solutions
- Optimize ML models for performance, efficiency, and accuracy
- Deploy ML models into production environments and monitor their performance
- Research and evaluate new ML technologies and techniques
- Mentor and guide junior machine learning engineers and data scientists
- Lead technical discussions and contribute to architectural decisions for ML systems
- Troubleshoot and resolve complex issues in ML systems
- Contribute to the company's ML strategy and roadmap
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field
- Minimum of 8 years of experience in machine learning engineering or related roles
- Extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Strong programming skills in Python and proficiency in languages like C++ or Java
- Proven experience in deploying and managing ML models in production at scale
- Deep understanding of various ML algorithms, including deep learning, supervised, and unsupervised learning
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices
- Excellent problem-solving, analytical, and critical-thinking skills
- Strong communication and collaboration abilities
- Experience leading technical projects and mentoring teams.
This role offers a competitive salary, comprehensive benefits, and the opportunity to work on challenging and impactful ML projects in Los Angeles, California, US . As a remote-first position, you can work from anywhere in the US, contributing to groundbreaking AI advancements.
Apply Now
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6
Senior Machine Learning Engineer
90001 Los Angeles, California
$170000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a leader in the IT & Software sector, is looking for an accomplished Senior Machine Learning Engineer to join their fully remote team. This role is pivotal in designing, building, and deploying sophisticated machine learning models and systems that drive innovation and provide intelligent solutions. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. The ideal candidate possesses a strong foundation in machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, along with experience in MLOps and cloud platforms (AWS, Azure, GCP), is crucial. You will collaborate closely with data scientists, software engineers, and product managers to translate complex business problems into practical ML solutions. This position requires exceptional analytical and problem-solving skills, a passion for data-driven decision-making, and the ability to mentor junior engineers. You should be adept at working with large datasets, developing robust and scalable ML pipelines, and ensuring the responsible and ethical application of AI technologies.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Build and maintain scalable ML pipelines for training, evaluation, and deployment.
- Collaborate with cross-functional teams to identify and address business challenges with ML solutions.
- Perform data preprocessing, feature engineering, and model selection.
- Deploy ML models into production environments and monitor their performance.
- Conduct research on new ML techniques and technologies.
- Optimize model performance and efficiency.
- Mentor junior machine learning engineers and contribute to knowledge sharing.
- Ensure the ethical and responsible use of AI and ML technologies.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in machine learning engineering or data science.
- Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, Keras, PyTorch, TensorFlow).
- Proficiency in MLOps practices and tools (e.g., Docker, Kubernetes, CI/CD).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Excellent analytical, problem-solving, and communication skills.
- Experience working in a remote, collaborative team environment.
Apply Now
7
Software Engineer III, Machine Learning
90079 Los Angeles, California
Match Group
Posted 1 day ago
Job Viewed
Job Description
Our Mission
Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, "It Starts with a Swipe"™"
Our Values
One Team, One Dream
We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
Own It
We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
Never Stop Learning
We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
Spark Solutions
We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
Embrace Our Differences
We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
The Team
The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high-making the level of impact each engineer gets to have at Tinder enormous.The Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people.
About The Role
As a Software Engineer focused on Machine Learning Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. You'll design, implement, and scale systems that influence millions of users worldwide. You will work on cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology.
Where You'll Work
This is a hybrid role and requires in-office collaboration three days per week. This position is located in Palo Alto, CA
In this role, you will:Work on modeling efforts of Tinder's Trust and Safety experiences. Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc. Help the research and development of novel algorithms and models, staying at the forefront of advancements in ML technologies. Work with big data to improve the accuracy and relevance of models. Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives.
You'll need:2+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale. BS in computer science, statistics, or another similar field. Hands-on experience in one or more of the following - Computer Vision, NLP, Generative AI preferably in the safety domain. In-depth knowledge of deep neural networksProficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc. Proficiency in Python, Java, Scala, or similar programming languages.
$ - $ a year
The salary range for this position is 165,000 - . Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Commitment to Inclusion
At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
#Tinder
Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, "It Starts with a Swipe"™"
Our Values
One Team, One Dream
We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
Own It
We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
Never Stop Learning
We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
Spark Solutions
We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
Embrace Our Differences
We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
The Team
The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high-making the level of impact each engineer gets to have at Tinder enormous.The Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people.
About The Role
As a Software Engineer focused on Machine Learning Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. You'll design, implement, and scale systems that influence millions of users worldwide. You will work on cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology.
Where You'll Work
This is a hybrid role and requires in-office collaboration three days per week. This position is located in Palo Alto, CA
In this role, you will:
You'll need:
$ - $ a year
The salary range for this position is 165,000 - . Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Commitment to Inclusion
At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
#Tinder
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8
Lead Data Scientist - Machine Learning
90001 Los Angeles, California
$170000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology company, is seeking an accomplished Lead Data Scientist to drive innovation in machine learning and artificial intelligence. This crucial role will lead the development and deployment of advanced predictive models and data-driven solutions that enhance user experience and optimize business operations. Located in the bustling metropolis of Los Angeles, California, US , this position offers a hybrid work environment, promoting collaboration while allowing for flexibility. The ideal candidate will possess deep expertise in machine learning algorithms, statistical modeling, and large-scale data analysis, coupled with strong leadership capabilities.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and implementation of sophisticated machine learning models for various applications (e.g., recommendation systems, fraud detection, natural language processing).
- Analyze large, complex datasets to extract actionable insights and identify patterns relevant to business objectives.
- Develop and deploy scalable ML pipelines, ensuring model performance and reliability in production.
- Collaborate closely with product managers, engineers, and other data scientists to define project requirements and deliver impactful solutions.
- Mentor and guide junior data scientists, fostering a collaborative and innovative team environment.
- Evaluate and experiment with new machine learning techniques and technologies.
- Develop strategies for feature engineering, model selection, and hyperparameter tuning.
- Communicate complex technical findings and recommendations clearly to both technical and non-technical stakeholders.
- Ensure the ethical and responsible use of data and AI technologies.
- Contribute to the company's data strategy and roadmap.
- Stay current with advancements in machine learning, AI, and data science.
- Perform A/B testing and other experiments to validate model performance.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of professional experience in data science and machine learning, with a proven track record of leading successful projects.
- Deep expertise in a wide range of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their applications.
- Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of statistical modeling, experimental design, and data mining techniques.
- Excellent data visualization and communication skills.
- Proven leadership abilities and experience mentoring team members.
- Familiarity with MLOps principles and practices.
- Ability to work effectively in a hybrid work model and collaborate with remote team members.
Apply Now
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