16,815 Ml Engineering jobs in the United States
ML Engineering Manager
Posted 18 days ago
Job Viewed
Job Description
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what's next. Let's define tomorrow, together.
Description
Job overview and responsibilities
The ML Engineering Manager is responsible to develop and program integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.
-
Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
-
Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows
-
Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production
-
Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions
-
Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
-
Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers
Qualifications
What's needed to succeed (Minimum Qualifications):
-
Bachelor's Degree in Computer Science, Engineering, or a related technical discipline
-
4-8 years of experience in managing technical teams and projects
-
4+ years of experience in full software lifecycle development using Python
-
4+ years in software development in Python, PySpark
-
4+ Years of Experience with Machine Learning and Machine Learning workflows
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Experience designing and developing using technologies as Docker, Kubernetes
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Hands-on experience leading an ML Generative AI
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Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++ Understanding of machine learning principles and techniques
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Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)
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Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate
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Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline
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Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)
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Knowledge of distributed systems as it pertains to compute and data storage
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Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native
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Excellent oral and written communication skills
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Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences
-
Must be legally authorized to work in the United States for any employer without sponsorship
-
Successful completion of interview required to meet job qualification
-
Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
-
AWS Certified Solution Architect (Associate or Professional)
-
Experience working as a Machine Learning Engineer or Data Scientist building and productionalizing machine learning solutions
-
Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark
-
Experience with GPU acceleration (e.g. CUDA and CuDNN)
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Experience with Kubernetes
The base pay range for this role is $114,665.00 to $156,310.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact to request accommodation.
ML Engineering Manager

Posted today
Job Viewed
Job Description
Come join us to create what's next. Let's define tomorrow, together.
**Description**
**Job overview and responsibilities**
The ML Engineering Manager is responsible to develop and program integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.
+ Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
+ Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows
+ Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production
+ Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions
+ Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
+ Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's Degree in Computer Science, Engineering, or a related technical discipline
+ 4-8 years of experience in managing technical teams and projects
+ 4+ years of experience in full software lifecycle development using Python
+ 4+ years in software development in Python, PySpark
+ 4+ Years of Experience with Machine Learning and Machine Learning workflows
+ Experience designing and developing using technologies as Docker, Kubernetes
+ Hands-on experience leading an ML Generative AI
+ Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++ Understanding of machine learning principles and techniques
+ Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)
+ Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate
+ Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline
+ Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)
+ Knowledge of distributed systems as it pertains to compute and data storage
+ Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native
+ Excellent oral and written communication skills
+ Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences
+ Must be legally authorized to work in the United States for any employer without sponsorship
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ AWS Certified Solution Architect (Associate or Professional)
+ Experience working as a Machine Learning Engineer or Data Scientist building and productionalizing machine learning solutions
+ Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark
+ Experience with GPU acceleration (e.g. CUDA and CuDNN)
+ Experience with Kubernetes
The base pay range for this role is $114,665.00 to $156,310.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact to request accommodation.
VP AI ML Engineering
Posted 9 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Optum is seeking a visionary AI leader to deliver Conversational AI solutions to UnitedHealthcare Consumers and Optum Patients. The successful candidate will play a critical role in transforming our digital experiences to conversational experiences, through multiple engagement channels (including web, app, chat, voice, and search), with a particular emphasis on transforming how consumers engage in the US health care system. In this role you will help make UnitedHealth Group's consumer obsessed digital vision come to life by using AI to deliver our next generation Conversational Experiences.
Job Summary:
Define and lead the strategic vision, architecture, and implementation of AI solutions across our consumer-facing digital experiences. Partner closely with business and product teams to identify and prioritize strategic opportunities for leveraging AI within web, mobile, chat messaging, voice messaging, and search channels. Oversee the development of scalable, secure, and innovative AI solutions designed to enhance consumer engagement and deliver personalized, intuitive self-service experiences that transform our current digital experiences into conversational experiences.
Primary Responsibilities:
-
Define, communicate, and execute the architectural vision and strategic roadmap for AI applications across all consumer engagement channels, ensuring alignment with overall business goals and consumer experience objectives
-
Collaborate closely with product management, engineering, user experience, and business stakeholders to identify, prioritize, and implement high-impact AI opportunities across web, mobile, chat messaging, voice messaging, and search platforms
-
Lead the architectural design and implementation of advanced AI solutions, including conversational AI/chatbots, virtual assistants, personalized content generation, and search enhanced with conversational capabilities that transform our existing digital experiences into conversational experiences
-
Champion the integration of AI best practices throughout the software development lifecycle (SDLC), from ideation and prototyping through deployment, monitoring, and continuous optimization
-
Provide technical leadership, mentorship, and guidance to architects and engineering teams, fostering a culture of innovation, collaboration, and continuous learning
-
Establish and enforce architectural standards, guidelines, and governance processes for AI solutions, ensuring scalability, performance, security, regulatory compliance, and adherence to data privacy best practices
-
Continuously monitor emerging AI technologies, tools, and industry trends, proactively recommending innovative approaches to enhance digital consumer interactions and experiences
-
Represent the organization in technical discussions, strategic partnerships, and industry forums related to AI, consumer engagement, and digital innovation
-
Evangelize AI capabilities and opportunities internally and foster the development of AI talent by actively identifying, mentoring, and developing talent within the consumer engineering organization
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
-
10+ years of progressive experience in software architecture and engineering
-
Proven experience leading the architectural vision, strategy, and successful delivery of AI solutions at scale (ideally within conversational AI, virtual assistants, content generation, and/or dynamic consumer engagement)
-
Hands-on technical expertise in AI technologies and frameworks, including large language models (LLMs), natural language generation (NLG) including voice and chat, and conversational interfaces
-
Demonstrated experience with consumer-facing digital solutions across multiple channels (web, mobile, chat, voice, and search)
-
Excellent communication, leadership, and collaboration skills
-
Track record of success effectively influencing and inspiring cross-functional teams and senior stakeholders to drive change
-
Experience ensuring solutions adhere to regulatory compliance, ethical considerations, data privacy, and security best practices
Preferred Qualifications:
-
Proven experience implementing AI solutions within consumer-focused industries, particularly in self-service digital environments
-
Experience creating GenAI solutions
-
Deep understanding of consumer engagement strategies, user experience principles, and best practices across digital self-service channels
-
Familiarity with cloud-based AI platforms, APIs, Agile development, and DevOps methodologies
-
Track record of innovation, thought leadership, and successful execution of transformative AI initiatives
-
Healthcare domain knowledge
-
Bachelor's or Advanced degree in Computer Science, Engineering, or related technical discipline
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $196,600 to $337,100 annually based on full-time employment. We comply with all minimum wage laws as applicable.
This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
VP AI ML Engineering
Posted 10 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Optum is seeking a visionary AI leader to deliver Conversational AI solutions to UnitedHealthcare Consumers and Optum Patients. The successful candidate will play a critical role in transforming our digital experiences to conversational experiences, through multiple engagement channels (including web, app, chat, voice, and search), with a particular emphasis on transforming how consumers engage in the US health care system. In this role you will help make UnitedHealth Group's consumer obsessed digital vision come to life by using AI to deliver our next generation Conversational Experiences.
Job Summary:
Define and lead the strategic vision, architecture, and implementation of AI solutions across our consumer-facing digital experiences. Partner closely with business and product teams to identify and prioritize strategic opportunities for leveraging AI within web, mobile, chat messaging, voice messaging, and search channels. Oversee the development of scalable, secure, and innovative AI solutions designed to enhance consumer engagement and deliver personalized, intuitive self-service experiences that transform our current digital experiences into conversational experiences.
Primary Responsibilities:
- Define, communicate, and execute the architectural vision and strategic roadmap for AI applications across all consumer engagement channels, ensuring alignment with overall business goals and consumer experience objectives
- Collaborate closely with product management, engineering, user experience, and business stakeholders to identify, prioritize, and implement high-impact AI opportunities across web, mobile, chat messaging, voice messaging, and search platforms
- Lead the architectural design and implementation of advanced AI solutions, including conversational AI/chatbots, virtual assistants, personalized content generation, and search enhanced with conversational capabilities that transform our existing digital experiences into conversational experiences
- Champion the integration of AI best practices throughout the software development lifecycle (SDLC), from ideation and prototyping through deployment, monitoring, and continuous optimization
- Provide technical leadership, mentorship, and guidance to architects and engineering teams, fostering a culture of innovation, collaboration, and continuous learning
- Establish and enforce architectural standards, guidelines, and governance processes for AI solutions, ensuring scalability, performance, security, regulatory compliance, and adherence to data privacy best practices
- Continuously monitor emerging AI technologies, tools, and industry trends, proactively recommending innovative approaches to enhance digital consumer interactions and experiences
- Represent the organization in technical discussions, strategic partnerships, and industry forums related to AI, consumer engagement, and digital innovation
- Evangelize AI capabilities and opportunities internally and foster the development of AI talent by actively identifying, mentoring, and developing talent within the consumer engineering organization
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- 10+ years of progressive experience in software architecture and engineering
- Proven experience leading the architectural vision, strategy, and successful delivery of AI solutions at scale (ideally within conversational AI, virtual assistants, content generation, and/or dynamic consumer engagement)
- Hands-on technical expertise in AI technologies and frameworks, including large language models (LLMs), natural language generation (NLG) including voice and chat, and conversational interfaces
- Demonstrated experience with consumer-facing digital solutions across multiple channels (web, mobile, chat, voice, and search)
- Excellent communication, leadership, and collaboration skills
- Track record of success effectively influencing and inspiring cross-functional teams and senior stakeholders to drive change
- Experience ensuring solutions adhere to regulatory compliance, ethical considerations, data privacy, and security best practices
Preferred Qualifications:
- Proven experience implementing AI solutions within consumer-focused industries, particularly in self-service digital environments
- Experience creating GenAI solutions
- Deep understanding of consumer engagement strategies, user experience principles, and best practices across digital self-service channels
- Familiarity with cloud-based AI platforms, APIs, Agile development, and DevOps methodologies
- Track record of innovation, thought leadership, and successful execution of transformative AI initiatives
- Healthcare domain knowledge
- Bachelor's or Advanced degree in Computer Science, Engineering, or related technical discipline
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $196,600 to $337,100 annually based on full-time employment. We comply with all minimum wage laws as applicable.
This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
AI/ML Engineering Lead
Posted 14 days ago
Job Viewed
Job Description
Please submit qualified candidates and include FULL LEGAL NAME as it appears on the passport
AI/ML Engineering Lead
Iselin, NJ, Charlotte, NC or Chandler, AZ
12+ months with possibility to convert
Hybrid onsite 2 days / 3 days remote
Required skillset
- Proven experience in Conversational AI and synthetic agent development, especially within Google Cloud environments.
- Hands-on expertise with GenAI orchestration tools (LangGraph, LangChain, ReACT, LLMs).
- Strong background in real-time, event-driven architectures and cloud-native technologies (GCP, Kafka, Pub/Sub, Big Table).
- Deep understanding of MLOps practices for scalable AI deployment and monitoring.
- Experience in Responsible AI (RAI) and regulatory AI governance, especially in Fintech or other highly regulated industries.
- Track record of cost-efficient AI model deployment, optimizing deterministic vs. probabilistic approaches.
Day to Day
- Develop Synthetic AI Agents using the Google Conversational Platform and playbooks to enhance automated interactions.
- Orchestrate multiple Generative AI Agents using LangGraph, LangChain (with ReACT), and LLM tooling for intelligent workflow automation.
- Architect and implement large-scale, low-latency, real-time systems with a focus on event-driven processing and extended conversational context using Big Table, Time Series, Pub/Sub, and Kafka.
- Leverage ML frameworks and MLOps best practices to streamline the deployment, monitoring, and maintenance of AI models.
- Continuously combat AI hallucinations by implementing real-time detection and correction mechanisms, rather than one-time adjustments.
- Design and implement guardrails, supervisory mechanisms, and observability frameworks to ensure AI transparency, reliability, and explainability.
- Lead Responsible AI (RAI) initiatives at scale, ensuring compliance with regulatory requirements for industries like Fintech.
- Optimize cost-efficiency of GenAI solutions through hybrid approaches, balancing deterministic and probabilistic methods.
- Integrate AI solutions into Google Cloud's native microservices and event-driven architectures, leveraging technologies such as Big Table, Pub/Sub, and AlloyDB.
INCLUDE WITH SUBMITS PLEASE
Please provide your years of experience in the following:
- GenAI orchestration tools
- LangGraph
- LangChain
- ReACT, LLM
- Conversational AI
- Google Cloud
- MLOps practices
- ML frameworks
- ReasonableAI (RAI)
VP AI ML Engineering
Posted 10 days ago
Job Viewed
Job Description
Optum is seeking a visionary AI leader to deliver Conversational AI solutions to UnitedHealthcare Consumers and Optum Patients. The successful candidate will play a critical role in transforming our digital experiences to conversational experiences, through multiple engagement channels (including web, app, chat, voice, and search), with a particular emphasis on transforming how consumers engage in the US health care system. In this role you will help make UnitedHealth Group's consumer obsessed digital vision come to life by using AI to deliver our next generation Conversational Experiences.
**Job Summary:**
Define and lead the strategic vision, architecture, and implementation of AI solutions across our consumer-facing digital experiences. Partner closely with business and product teams to identify and prioritize strategic opportunities for leveraging AI within web, mobile, chat messaging, voice messaging, and search channels. Oversee the development of scalable, secure, and innovative AI solutions designed to enhance consumer engagement and deliver personalized, intuitive self-service experiences that transform our current digital experiences into conversational experiences.
**Primary Responsibilities:**
+ Define, communicate, and execute the architectural vision and strategic roadmap for AI applications across all consumer engagement channels, ensuring alignment with overall business goals and consumer experience objectives
+ Collaborate closely with product management, engineering, user experience, and business stakeholders to identify, prioritize, and implement high-impact AI opportunities across web, mobile, chat messaging, voice messaging, and search platforms
+ Lead the architectural design and implementation of advanced AI solutions, including conversational AI/chatbots, virtual assistants, personalized content generation, and search enhanced with conversational capabilities that transform our existing digital experiences into conversational experiences
+ Champion the integration of AI best practices throughout the software development lifecycle (SDLC), from ideation and prototyping through deployment, monitoring, and continuous optimization
+ Provide technical leadership, mentorship, and guidance to architects and engineering teams, fostering a culture of innovation, collaboration, and continuous learning
+ Establish and enforce architectural standards, guidelines, and governance processes for AI solutions, ensuring scalability, performance, security, regulatory compliance, and adherence to data privacy best practices
+ Continuously monitor emerging AI technologies, tools, and industry trends, proactively recommending innovative approaches to enhance digital consumer interactions and experiences
+ Represent the organization in technical discussions, strategic partnerships, and industry forums related to AI, consumer engagement, and digital innovation
+ Evangelize AI capabilities and opportunities internally and foster the development of AI talent by actively identifying, mentoring, and developing talent within the consumer engineering organization
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
**Required Qualifications:**
+ 10+ years of progressive experience in software architecture and engineering
+ Proven experience leading the architectural vision, strategy, and successful delivery of AI solutions at scale (ideally within conversational AI, virtual assistants, content generation, and/or dynamic consumer engagement)
+ Hands-on technical expertise in AI technologies and frameworks, including large language models (LLMs), natural language generation (NLG) including voice and chat, and conversational interfaces
+ Demonstrated experience with consumer-facing digital solutions across multiple channels (web, mobile, chat, voice, and search)
+ Excellent communication, leadership, and collaboration skills
+ Track record of success effectively influencing and inspiring cross-functional teams and senior stakeholders to drive change
+ Experience ensuring solutions adhere to regulatory compliance, ethical considerations, data privacy, and security best practices
**Preferred Qualifications:**
+ Proven experience implementing AI solutions within consumer-focused industries, particularly in self-service digital environments
+ Experience creating GenAI solutions
+ Deep understanding of consumer engagement strategies, user experience principles, and best practices across digital self-service channels
+ Familiarity with cloud-based AI platforms, APIs, Agile development, and DevOps methodologies
+ Track record of innovation, thought leadership, and successful execution of transformative AI initiatives
+ Healthcare domain knowledge
+ Bachelor's or Advanced degree in Computer Science, Engineering, or related technical discipline
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $196,600 to $337,100 annually based on full-time employment. We comply with all minimum wage laws as applicable.
This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations._
_UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment._
Senior Manager, ML Engineering
Posted today
Job Viewed
Job Description
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a skilled Senior Manager of Machine Learning Engineering with a strong background in ML model productionization. This role oversees ML Engineering efforts to productionize and deploy ML models that predict the cost to manufacture customers' parts and determine the best price to charge for them. This is at the core of our business with substantial opportunity for impact by solving interesting and challenging technical problems.
The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 3 years in a leadership role, and experience with pricing algorithms and deep learning.
This position requires both leadership and hands-on technical expertise, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems. Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.
Responsibilities:
- Lead, mentor, and manage a team of machine learning engineers, providing guidance on best practices in ML Ops, infrastructure, and software engineering.
- Lead the productionization of ML models and their deployment to quickly iterate on ML at the core of our business
- Be hands-on in the design, development, and deployment of machine learning models and systems, ensuring they meet high standards of performance, scalability, and reliability.
- Collaborate with data scientists, product managers, software engineers, and other stakeholders to define project requirements and deliverables.
- Develop and maintain ML Ops pipelines, ensuring efficient model training, deployment, and monitoring.
- Implement and manage infrastructure for large-scale data processing, model training, and inference.
- Drive continuous improvement in engineering practices, including code quality, testing, and deployment automation.
- Stay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.
- Manage project timelines, resources, and deliverables, ensuring projects are completed on time and within budget.
- Foster a culture of innovation, collaboration, and continuous learning within the engineering team.
Qualifications:
- Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.
- 8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure.
- Minimum of 3 years of experience in a management role, with a proven track record of leading engineering teams to successful project outcomes.
- Strong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with ML Ops practices, including model versioning, continuous integration, and automated deployment.
- Proficiency in software engineering practices, including object-oriented design, code versioning, and testing.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.
- Strong problem-solving skills, with the ability to lead teams in troubleshooting complex technical challenges.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively.
- Must be a US Citizen or Green Card holder (ITAR)
- Experience with pricing algorithms
- Experience with neural networks and deep learning
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of big data technologies (e.g., Hadoop, Spark) and data engineering practices.
- Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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Vice President, AI/ML Engineering
Posted 2 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
The VP, AI/ML Engineering is a strategic leadership role responsible for defining, building, and delivering an AI strategy and roadmap that aligns with UnitedHealth Group business priorities. You will collaborate with CIOs and Executive Business sponsors to influence an AI-driven agenda, including AI product Innovation and use cases targeting the highest benefit value.
This role requires a visionary leader who can drive AI innovation and leverage the latest industry trends and technologies to deliver high-impact solutions.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
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Strategic Leadership and Engineering Accountability: Define, build, and deliver a comprehensive AI strategy and roadmap in alignment with UnitedHealth Group's business goals, ensuring engineering excellence and accountability
-
Collaboration: Partner with CIOs and Executive Business sponsors to influence and drive an AI-driven agenda, focusing on AI product innovation and high-value use cases
-
Innovation: Continually identify proof of concepts and new innovations, leveraging the latest industry AI/ML trends and technologies
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Research and Development: Lead AI research and development efforts to ensure the adoption of emerging AI technologies and trends, including machine learning (ML), natural language processing (NLP), and robotics
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Partnership: Establish and maintain partnerships with academic institutions, research organizations, and universities to access cutting-edge research, talent, and technology
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Team Leadership: Lead and grow a multidisciplinary team of AI/ML engineers, software engineers, and researchers, fostering a culture of innovation and operational excellence
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
-
Proven experience in AI/ML leadership roles, with a track record of delivering successful AI strategies and solutions
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Experience in the healthcare industry or a similarly regulated environment
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Demonstrated ability to articulate complex AI concepts to both technical and non-technical audiences (in writing & verbally)
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Track record of influencing and driving an AI agenda at the executive level
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Deep understanding of AI/ML technologies, trends, and best practices
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Experience leading research and development efforts in AI/ML, including ML, NLP, and/or robotics
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Excellent team leadership skills, with the ability to inspire and grow a high-performing team
Preferred Qualifications:
-
Product orientation
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Prior experience managing budgets & project/program plans
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Advanced degree in Computer Science, AI/ML, or a related field
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Established network and experience partnering with academic institutions and research organizations
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
The salary range for this role is $191,800 to $364,800 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
AI/ML Engineering Leader - Remote
Posted 2 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together .
We are seeking an experienced AI/ML Engineering Leader to lead the design, development, and implementation of cutting-edge artificial intelligence solutions across the organization. The successful candidate will play a pivotal role in shaping our AI strategy, defining architecture standards, and ensuring the creation of scalable, secure, and high-performance AI-driven products and services.
If you are located in Minnetonka, MN, you will have the flexibility to work from home and the office in this hybrid role* as you take on some tough challenges.
Primary Responsibilities:
-
Architecture & Standards:
-
Design end-to-end AI/ML architectures aligned to business and technical goals
-
Develop, maintain, and enforce AI/ML architecture guidelines, standards, and comprehensive review checklists
-
Keep documentation current and ensure all AI projects align with established architecture best practices and compliance requirements
-
Governance & Review:
-
Proactively review and assess AI solution architectures across projects
-
Provide actionable feedback, coaching, and guidance to teams implementing AI/ML solutions
-
Approve solution designs and ensure adherence to architecture standards before implementation
-
Innovation & Prototyping:
-
Stay abreast of emerging advancements in AI and machine learning, evaluating their potential through hands-on development
-
Build rapid prototypes, proof-of-concepts, and accelerators to assess and demonstrate new technologies or approaches
-
Publish point-of-view papers, technical blogs, and thought leadership content to guide internal and external stakeholders
-
Collaboration:
-
Work closely with product managers, data scientists, engineers, and other business stakeholders to drive the development and deployment of AI solutions
-
Leadership & Mentorship:
-
Foster a culture of excellence and continuous learning within the AI/ML engineering community
-
Mentor and upskill team members in architecture best practices, new technologies, and design patterns
-
Ability to work collaboratively and influence cross-functional teams
-
Self-driven and passionate about innovation and emerging technology
-
Compliance & Security:
-
Ensure all AI systems follow data governance, privacy standards, and ethical AI principles
-
Collaborate with the Responsible Use of AI (RUAI) team to ensure that the solutions are compliant with company policies and standards
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
-
Degree in computer science
-
10+ years of experience in the IT industry experience in designing & developing complex enterprise software applications.
-
5+ years of hands-on experience in AI/ML, including architecting, designing, developing and deploying production-grade AI solutions using techniques such as regression, classification, and deep neural networks, with experience using frameworks like PyTorch or TensorFlow
-
3+ years of experience working with at least one major cloud AI platform (AWS, Azure, or Google Cloud)
-
2+ years of experience developing and deploying production AI solutions utilizing Generative AI, including Large Language Models, Retrieval-Augmented Generation (RAG), text embeddings, and vector databases
-
2+ years of experience with MLOps processes, including managing end-to-end machine learning deployment and monitoring
-
Solid knowledge of Exploratory data analysis, data engineering and building data pipelines
-
Understanding of data privacy, security, and ethical considerations in AI system design
-
Willingness to lead and manage global teams, including teams based in India
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
AI/ML Engineering Leader - Remote
Posted 3 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together .
We are seeking an experienced AI/ML Engineering Leader to lead the design, development, and implementation of cutting-edge artificial intelligence solutions across the organization. The successful candidate will play a pivotal role in shaping our AI strategy, defining architecture standards, and ensuring the creation of scalable, secure, and high-performance AI-driven products and services.
If you are located in Minnetonka, MN, you will have the flexibility to work from home and the office in this hybrid role* as you take on some tough challenges.
Primary Responsibilities:
- Architecture & Standards:
- Design end-to-end AI/ML architectures aligned to business and technical goals
- Develop, maintain, and enforce AI/ML architecture guidelines, standards, and comprehensive review checklists
- Keep documentation current and ensure all AI projects align with established architecture best practices and compliance requirements
- Governance & Review:
- Proactively review and assess AI solution architectures across projects
- Provide actionable feedback, coaching, and guidance to teams implementing AI/ML solutions
- Approve solution designs and ensure adherence to architecture standards before implementation
- Innovation & Prototyping:
- Stay abreast of emerging advancements in AI and machine learning, evaluating their potential through hands-on development
- Build rapid prototypes, proof-of-concepts, and accelerators to assess and demonstrate new technologies or approaches
- Publish point-of-view papers, technical blogs, and thought leadership content to guide internal and external stakeholders
- Collaboration:
- Work closely with product managers, data scientists, engineers, and other business stakeholders to drive the development and deployment of AI solutions
- Leadership & Mentorship:
- Foster a culture of excellence and continuous learning within the AI/ML engineering community
- Mentor and upskill team members in architecture best practices, new technologies, and design patterns
- Ability to work collaboratively and influence cross-functional teams
- Self-driven and passionate about innovation and emerging technology
- Compliance & Security:
- Ensure all AI systems follow data governance, privacy standards, and ethical AI principles
- Collaborate with the Responsible Use of AI (RUAI) team to ensure that the solutions are compliant with company policies and standards
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- Degree in computer science
- 10+ years of experience in the IT industry experience in designing & developing complex enterprise software applications.
- 5+ years of hands-on experience in AI/ML, including architecting, designing, developing and deploying production-grade AI solutions using techniques such as regression, classification, and deep neural networks, with experience using frameworks like PyTorch or TensorFlow
- 3+ years of experience working with at least one major cloud AI platform (AWS, Azure, or Google Cloud)
- 2+ years of experience developing and deploying production AI solutions utilizing Generative AI, including Large Language Models, Retrieval-Augmented Generation (RAG), text embeddings, and vector databases
- 2+ years of experience with MLOps processes, including managing end-to-end machine learning deployment and monitoring
- Solid knowledge of Exploratory data analysis, data engineering and building data pipelines
- Understanding of data privacy, security, and ethical considerations in AI system design
- Willingness to lead and manage global teams, including teams based in India
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.