Design and deploy advanced machine learning solutions for clinical data contexts. Analyze large datasets and build production-ready AI systems. Collaborate with product managers and clinicians to align ML solutions with core objectives.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
1. About Our Client:
This organization operates in the clinical intelligence industry, addressing the challenge of improving patient-specific care options. It combines advanced AI technology with deep clinical expertise to deliver solutions adopted by health plans covering over 15 million lives. Within four years, the company has experienced significant growth in revenue and size, supported by substantial capital investment and multiple industry recognitions.
2. About the Opportunity:
The Senior Machine Learning Engineer role focuses on designing and deploying advanced machine learning solutions for retrieval, classification, and generative AI applications within clinical data contexts. The position plays a key role in translating healthcare challenges into scalable, production-ready AI systems that support product, leadership, and clinical operations teams, contributing strategic and operational problem-solving in a mission-driven environment.
3. Responsibilities:
• Design, develop, and deploy machine learning algorithms for retrieval, classification, and generative use cases.
• Analyze large datasets using advanced techniques to generate insights, simulations, visualizations, and business narratives.
• Build reliable and scalable production machine learning systems.
• Write and maintain reusable codebases for data preprocessing, model training, evaluation, and deployment.
• Guide junior engineers on software and machine learning best practices.
• Collaborate with product managers, clinicians, and technical leadership to align ML solutions with core objectives.
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4. Requirements:
• 5+ years of applied machine learning experience in industry.
• Master''s degree in computer science, machine learning, mathematics, or related field.
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Experience with generative AI and Retrieval Augmented Generation (RAG).
• Preferred experience working with healthcare data.
• Strong understanding of model building, maintenance, and optimization for production.
• Ability to design experiments and independently collect, measure, and interpret results.
• Excellent written and verbal communication skills, with experience presenting to both technical and non-technical audiences.
5. Pay Range and Compensation Package:
• Salary range: $135,000 to $170,000 annually.
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• Total benefits package includes health insurance, 401(k) with company match, and bonus.
6. Benefits & Perks:
• Fully remote position with approximately 5% travel.
• Medical, dental, vision, life, and disability insurance.
• Employee Assistance Program.
• 401(k) retirement plan with company match; flexible spending and health savings accounts.
• Flexible time off plus company holidays.
• Up to 14 weeks of paid parental leave.
• Pet insurance.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.
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