5,492 AI Frameworks jobs in the United States

As an AI/ML Executive Director, in our AI for Operations organization, you will work on developing cutting-edge large scale Agentic-AI, GenAI, Natural Language Processing and Search Systems to serve our customers and internal agents supporting the bank's operations.
**Job Responsibilities**
+ Utilize large-scale distributed computing to effectively apply Agentic-AI in real-world applications to serve JPMC customers and service agents across channels.
+ Use and extend GenAI capabilities to build differentiating applications that are customized to suit product and customer requirements. Effectively and efficiently develop various evaluation mechanisms to identify, address and improve the results of LLM based systems.
+ Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
+ Build and Lead a team of Machine Learning applied researchers and engineers. Provide technical and career guidance to the team members.
+ Collaborate with cross-functional partners including product, data and engineering.
+ Lead by example to provide the best service and build the most appropriate applications in a timely fashion to address customer concerns, resolving critical issues, and push forward on future roadmap and priorities.
+ Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
+ Act as an advanced architect and code contributor in system development, algorithms, architectural design for Agentic-AI, GenAI, NLP and machine learning systems.
+ Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
**Required qualifications, capabilities, and skills:**
+ PhD in Computer Science, with a strong research and industry work experience in AI/ML, Natural Language Processing and Information Retrieval.
+ Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
+ Hands-on extensive experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
+ Advanced demonstrable programming skills of 10-15 years (PhD plus industry experience) on more than 1 programming language is required. Preferred: Spark, Python, Scala, Java.
+ Strong background in data structures, algorithms, operating systems, compilers, distributed computing and databases.
**Preferred qualifications, capabilities, and skills:**
+ PhD in computer science with concentration in AI - NLP or Information Retrieval.
+ Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
**Base Pay/Salary**
Palo Alto,CA $223,250.00 - $25,000.00 / year; New York,NY 223,250.00 - 325,000.00 / year

As an AI/ML Executive Director, in our AI for Operations organization, you will work on developing cutting-edge large scale Agentic-AI, GenAI, Natural Language Processing and Search Systems to serve our customers and internal agents supporting the bank's operations.

Job Responsibilities

• Utilize large-scale distributed computing to effectively apply Agentic-AI in real-world applications to serve JPMC customers and service agents across channels.
• Use and extend GenAI capabilities to build differentiating applications that are customized to suit product and customer requirements. Effectively and efficiently develop various evaluation mechanisms to identify, address and improve the results of LLM based systems.
• Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Build and Lead a team of Machine Learning applied researchers and engineers. Provide technical and career guidance to the team members.
• Collaborate with cross-functional partners including product, data and engineering.
• Lead by example to provide the best service and build the most appropriate applications in a timely fashion to address customer concerns, resolving critical issues, and push forward on future roadmap and priorities.
• Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
• Act as an advanced architect and code contributor in system development, algorithms, architectural design for Agentic-AI, GenAI, NLP and machine learning systems.
• Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.

Required qualifications, capabilities, and skills:

• PhD in Computer Science, with a strong research and industry work experience in AI/ML, Natural Language Processing and Information Retrieval.
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
• Hands-on extensive experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
• Advanced demonstrable programming skills of 10-15 years (PhD plus industry experience) on more than 1 programming language is required. Preferred: Spark, Python, Scala, Java.
• Strong background in data structures, algorithms, operating systems, compilers, distributed computing and databases.

Preferred qualifications, capabilities, and skills:

• PhD in computer science with concentration in AI - NLP or Information Retrieval.
• Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Base Pay/Salary
New York,NY $175,750.00 - $260,000.00 / year

As an AI/ML Executive Director, in our AI for Operations organization, you will work on developing cutting-edge large scale Agentic-AI, GenAI, Natural Language Processing and Search Systems to serve our customers and internal agents supporting the bank's operations.

Job Responsibilities

• Utilize large-scale distributed computing to effectively apply Agentic-AI in real-world applications to serve JPMC customers and service agents across channels.
• Use and extend GenAI capabilities to build differentiating applications that are customized to suit product and customer requirements. Effectively and efficiently develop various evaluation mechanisms to identify, address and improve the results of LLM based systems.
• Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Build and Lead a team of Machine Learning applied researchers and engineers. Provide technical and career guidance to the team members.
• Collaborate with cross-functional partners including product, data and engineering.
• Lead by example to provide the best service and build the most appropriate applications in a timely fashion to address customer concerns, resolving critical issues, and push forward on future roadmap and priorities.
• Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
• Act as an advanced architect and code contributor in system development, algorithms, architectural design for Agentic-AI, GenAI, NLP and machine learning systems.
• Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.

Required qualifications, capabilities, and skills:

• PhD in Computer Science, with a strong research and industry work experience in AI/ML, Natural Language Processing and Information Retrieval.
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
• Hands-on extensive experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
• Advanced demonstrable programming skills of 10-15 years (PhD plus industry experience) on more than 1 programming language is required. Preferred: Spark, Python, Scala, Java.
• Strong background in data structures, algorithms, operating systems, compilers, distributed computing and databases.

Preferred qualifications, capabilities, and skills:

• PhD in computer science with concentration in AI - NLP or Information Retrieval.
• Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary
Palo Alto,CA $223,250.00 - $25,000.00 / year; New York,NY 223,250.00 - 325,000.00 / year

**Position Purpose:**
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills.
This team works with forecasting possible outcomes of price and promotion actions at different levels, including AI solutions, and would need to be Proficient in deep learning and forecasting techniques.
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
**Key Responsibilities:**
+ 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments
+ 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
+ 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionization are leveraged
+ 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management
**Direct Manager/Direct Reports:**
+ This position typically reports to Senior Manager or above
+ This position has Direct Reports & manages programs
**Travel Requirements:**
+ Typically requires overnight travel 5% to 20% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ Experience taking a deep learning solution from end to end
+ Previous people or project team management experience
+ 9+ years of experience in business intelligence and analytics
+ Expertise in predictive modeling, data mining and data analysis
+ Mastery running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Mastery utilizing statistical techniques to identify key insights that help solve business problems
+ Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated proficiency in predictive modeling, data mining and data analysis
+ Experience managing and growing team members in a professional setting
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 8
**Competencies:**
+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
+ Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
+ Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Develops Talent: Developing people to meet both their career goals and the organization's goals
+ Directs Work: Provides direction, delegating and removing obstacles to get work done
+ Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
+ Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
+ Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
+ Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
+ Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
+ Persuades: Using compelling arguments to gain the support and commitment of others
+ Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
_Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit_ _ _._ We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $130,000.00 - $225,000.00

This is a remote position.

We seeks a dynamic and experienced Data Science Manager to drive data-driven innovation across our organization. Responsibilities The role offers the opportunity to lead strategic data science initiatives across multiple business domains, including Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Insurance As an ideal candidate, you'll combine hands-on technical expertise with strong leadership abilities to guide both project outcomes and team development Spearhead the development of sophisticated predictive and prescriptive models that drive business value Establish and maintain data science best practices, methodologies, and quality standards Design and implement scalable data pipelines for extracting, transforming, and analyzing complex datasets Translate analytical insights into clear, actionable recommendations for senior leadership Regularly participate in code review and hold a high bar for code quality Build and mentor a high-performing team of data scientists, fostering their professional growth and technical capabilities Balance hands-on model development with strategic team leadership Drive project execution through both direct reports and cross-functional project teams Partner with business leaders to identify high-impact opportunities for data science applications Present complex analytical findings to stakeholders at all levels of the organization Develop and execute data science strategies that align with TFS's business objectives Lead the evaluation and adoption of emerging data science technologies and methodologies Requirements Master's degree or higher in Statistics, Data Science, Computer Science, Mathematics, or related quantitative field At least 5 years of progressive experience in applied data science and analytics Demonstrated experience leading and mentoring junior data scientists and analysts Track record of successfully delivering complex data science projects in a business environment Strong proficiency in Python and its data science ecosystem Extensive experience with modern machine learning frameworks including scikit-learn, PyTorch, and statsmodels Deep understanding of statistical and machine learning techniques Experience with data manipulation, cleaning, and pipeline development Leadership & Soft Skills Proven ability to translate complex technical concepts into actionable business insights Strong problem-solving skills with a proactive approach to identifying opportunities Excellence in stakeholder management and cross-functional collaboration Outstanding written and verbal communication skills Ph.D. in Statistics, Mathematics, Economics, Computer Science, or related quantitative field Cloud Platform Expertise: Experience deploying and scaling machine learning models on cloud platforms (AWS SageMaker, Azure ML) Understanding of cloud-based data processing and storage solutions Knowledge of MLOps best practices and deployment workflows Strategic Leadership: Track record of successfully influencing and driving change across multiple departments Experience managing complex, cross-functional initiatives with competing priorities Ability to build consensus and align stakeholders around data science initiatives Experience modernizing legacy systems and processes Knowledge of data architecture principles and system integration Proven ability to design and implement scalable data science solutions Benefits Professional growth and development programs to help advance your career, as well as tuition reimbursement Paid holidays and paid time off Comprehensive health care and wellness plans for your entire family

Job Description

Job Description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.

Specific responsibilities for the Machine Learning Engineer position include:

• Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
• Deconstructing client needs into data-driven processes/models and analytical measures.
• Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
• Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
• Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements.
• Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications

• Bachelor's degree or equivalent combination of education and experience.
• Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
• Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
• Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
• Proficiency with containerization (e.g., Docker) and microservices.
• Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
• Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
• Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
• Knowledge of DevOps and automation best practices.
• Knowledge of statistics and statistical modeling methods.
• Knowledge of model management and model versioning best practices.

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. 

• Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
• Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
• Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
• Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
• Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
• Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 
• 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.  

#LI-LM1 

Organization Overview
The newly-created Data Science Platform (DSP) supports and advances the research objectives of Rockefeller Universitys faculty and staff by providing training and consultative support in the field of data science especially in the areas of machine learning and artificial intelligence (ML/AI) and deep learning (DL).
Overview
Reporting to the Chief Information Officer, and working primarily with Faculty, Research Staff, Postdoctoral Fellows, and Graduate Students, the Director leads a team of seven (7) Machine Learning Engineers that identify and work closely with internal and external resources to determine how to most effectively support University researchers' needs for applying ML/AI and/or other quantitative approaches to new and existing data sets across a wide variety of disciplines, including structural biology, imaging, microscopy, "omics," neuroscience, immunology/virology, and the physical sciences. The position also includes leadership of the Fisher Center AI Platform, which seeks to apply AI/ML techniques to understand the causes of Alzheimer's disease, improve the care of people living with it, and find a cure.
Responsibilities
Responsibilities include, but are not limited to the following:
+ Consult on experimental design and best usage, with emphasis on best practices for proper analysis and reproducibility;
+ Recruit and manage Data Science Platform staff members;
+ Develop and lead training/classes in ML/AI fundamentals and techniques; adapt and evolve training to best serve the changing needs of the research community;
+ Identify, improve, and/or create appropriate training data sets for ML/AI projects;
+ Advise researchers and collaborators on method selection and implementation, as well as on how to direct research projects to ensure alignment with emerging advancements in deep learning;
+ Maintain awareness of advances in the field and their applicability to problems of interest to members of Rockefeller's research community;
+ Identify and apply for appropriate grant funding opportunities;
+ Additional duties and special projects as assigned.
Qualifications
**REQUIRED QUALIFICATIONS:**
+ Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.
+ A minimum of ten (10) years of research experience in identifying, formulating and solving biological problems through the application of advanced artificial intelligence technologies.
+ At least two (2) years of leadership experience.
+ A strong publication record in top-tier venues focused on machine learning, artificial intelligence or their domain-specific applications, such as AAAI, NeurIPS, ICML, ICLR, IJCAI, KDD, ICCV, ECCV, CVPR, EMNLP, ACL, MICCAI, IJCV, TPAMI, TIP, ACM-MM, Nature, Nature Methods, Science and equivalent conferences and journals.
+ Broad knowledge on recent advances in artificial intelligence, such as foundation models (including large-language models, vision-language models, genomic foundation models, etc.), generative models, self-supervised learning, large-scale distributed training, efficient deep learning, with research expertise in at least one relevant field.
+ Basic knowledge of the deep learning tool stack, such as PyTorch, Python, CUDA, Linux, and computing cluster management.
+ Must possess excellent communication and interpersonal skills.
**PREFERRED QUALIFICATIONS:**
+ Prior work experience in a research related, academic environment is a plus.
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $175,000.00/Yr.
Compensation Range: Max
USD $190,000.00/Yr.

Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
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 $113,100-$232,300.
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.

Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
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 $113,100-$232,300.
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.