Top 181 Lead machine learning engineer Jobs in Anywhere Us Remote

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Lennar —Atlanta, GA
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Egen Solutions —Remote
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NobleAI —Houston, TX
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Qventus —Remote
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NBCUniversal —New York, NY
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Law School Admission Council —Newtown, PA
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Lead AI/ML Software Engineer - Remote

UnitedHealth Group -
Eden Prairie, MN

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Job Details

Full-time
$112,700 - $193,200 a year

Qualifications

AI models
Containerization systems
Software engineering
Tooling
IT system monitoring
Scalable systems
Bachelor's degree
Model deployment
Implementing APIs
Scalability
Production monitoring
System deployment
Machine learning (ML) fundamentals
System tuning
Python
MLOps
System performance monitoring

Full Job Description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Optum AI team members:

Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone
Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities

Primary Responsibilities:

Own the inference and delivery of machine learning insights to multiple customers
Manage, monitor, and scale machine learning systems, delivering insights to multiple customers
Partner with cross-functional engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world products
Work with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficiently
Drive pipeline efficiency and reliability through profiling, refactoring and advanced engineering
Develop new data pipelines to improve ML model usage

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:

Bachelor of Science in computer science or related quantitative field
7+ years of professional software engineering experience, with at least 5+ years building and operating production ML systems
Expert-level Python experience, including writing production-grade, testable, and maintainable code
Hands-on experience building and deploying APIs using FastAPI (or similar Python web frameworks) in a production environment
Solid experience deploying, managing, and scaling services in Kubernetes, including:
- Containerization (Docker)
- Helm or equivalent deployment tooling
- Resource tuning, autoscaling, and failure recovery
Proven experience with MLOps practices, including:
- Model deployment and versioning
- Monitoring model performance, drift, and system health

Preferred Qualifications:

Experience with AzureML, DataBricks, and Azure Kubernetes
Experience with distributed computing approaches
Expertise in ML Ops, for example, model monitoring, drift detection, and event-based model retraining
Proven solid technical communication skills
Proven ability and drive to learn independently
Proven problem-solving and analytical thinking
Proven ability to explain technical decisions to stakeholders

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 $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

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.

#optumaiscience

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.

#OptumTechPJ

Apply Now

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lead machine learning engineer jobs in anywhere us remote

Lead AI/ML Software Engineer - Remote

Google Engineering Lead | AI & Data

Lead Machine Learning Engineer, Lifetime Value

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Lead Machine Learning Engineer, Inference & Performance

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