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hackajob

Senior AI/ML Engineer – Remote

hackajob, Seattle, Washington, us, 98127

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Senior AI/ML Engineer – Optum (UnitedHealth Group) 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.

As a Senior AI/ML Engineer, you will harness cutting‑edge AI and machine learning technologies to enhance and transform current operations at Optum. This role is crucial for driving initiatives such as real‑time settlement, medical chart processing, autonomous medical code generation, and medical image processing. You will collaborate closely with business and operations teams to understand their requirements and translate abstract concepts into practical AI solutions.

Schedule Full‑time position with standard working hours of Monday – Friday, 9 am – 5 pm. Remote work is available from anywhere within the U.S.

Primary Responsibilities

Leverage AI/ML technologies to transform and improve current Optum operations, including projects such as smart revenue management, intelligent payment platforms, medical chart processing, automated medical code generation, and medical image processing.

Collaborate closely with business and operations teams to grasp requirements and translate vague concepts into tangible AI solutions.

Bring these solutions to life with solid implementation skills and work with engineering teams to build scalable, flexible product pipelines.

Adapt to an agile, fast‑paced environment, maintaining a passion for exploring and integrating cutting‑edge AI technologies to support future projects.

Required Qualifications

Master’s Degree (or higher) in Computer Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides mathematical training.

2+ years in Data Science or AI/ML Engineering.

2+ years of advanced level proficiency in at least one scripting language (Java, Python, SQL, PySpark, or C++).

2+ years of advanced level proficiency with AI/ML technologies.

2+ years of advanced level proficiency working with predictive analytics, NLP, image processing, Generative AI, or related technologies.

1+ years of advanced level proficiency in analyzing business challenges and designing AI‑driven solutions.

Preferred Qualifications

PhD in Computer Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides solid mathematical training.

Hands‑on experience with GenAI tools, LLMs (GPT, LLaMA, Gemini) and RAG pipelines.

Ability to find AI solutions for undefined problems.

Soft Skills

Ability to be a fast learner and self‑driven.

Ability to work independently on complex AI projects.

Eligibility and Remote Policy Applicants must be eligible to work indefinitely in the U.S. without any restrictions. Proof will be required. All employees working remotely must adhere to UnitedHealth Group’s Telecommuter Policy.

Compensation and Benefits Salary range: $89,900 – $160,600 annually (based on full‑time employment). In addition to salary, we offer a comprehensive benefits package, incentive and recognition programs, equity stock purchase, 401(k) contribution, and more.

Application Deadline Job posting may 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.

EEO Statement 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.

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