Machine Learning Engineer

🕒 September 15

🇺🇸 United States – Remote

💵 $0 - $135k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

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HealthEdge

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2005

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

HealthEdge is a company that specializes in providing advanced solutions for healthcare payers through its HealthRules Solutions Suite. This suite includes a comprehensive digital claims administration processing system, care management workflow solutions, and payment integrity solutions, which aim to enhance operational efficiency and improve quality of care for health plans. By leveraging integrated technology and automation, HealthEdge helps health plans eliminate data silos, increase payment accuracy, and elevate member experience, thereby transforming the healthcare landscape for better collaboration and accessibility.

📋 Description

• Develop and implement AI agents and automation for internal engineering workflows and customer-facing delivery processes • Own the full lifecycle from problem discovery through prototyping, evaluation, hardening, and production deployment • Contribute reusable libraries, prompt templates, tool-use patterns, and evaluation scaffolding to the AI Platform • Partner with software engineers to integrate AI into existing software infrastructure • Work with product managers, implementation consultants, engineers, and business operations teams to identify pain points and scope solutions • Iterate toward measurable business outcomes • Stay current with LLMs, agentic frameworks, machine learning, and healthcare technology • Optimize AI systems for accuracy, latency, cost, and safety, including human-in-the-loop design and healthcare guardrails • Maintain documentation of model development processes, methodologies, and results

🎯 Requirements

• Master's degree in Computer Science, Machine Learning, Data Science, or a related field; a Bachelor's degree with relevant experience will also be considered • 2–4 years of experience building and deploying ML or AI systems in production • Strong proficiency in Python • Experience with LLM APIs, agentic frameworks (LangChain, Strands, etc.), and prompt engineering • Experience with traditional ML frameworks such as PyTorch and scikit-learn • Software engineering fundamentals including version control, testing, and CI/CD • Comfort operating across the full development lifecycle • Interest in or familiarity with healthcare data, clinical workflows, and regulatory requirements • Strong problem-solving skills and ability to work with complex datasets to derive actionable insights • Excellent verbal and written communication skills and ability to explain technical concepts to non-technical stakeholders • Ability to work collaboratively in a cross-functional team environment, accept feedback, and contribute to team success • Candidates may be required to complete a pre-employment criminal background check

🏖️ Benefits

• Remote work environment • Hybrid or remote work environment • May require travel dependent on company needs • Reasonable accommodations for individuals with disabilities • Equal opportunity employment and workforce diversity • Pre-employment criminal background check

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