Senior Machine Learning Engineer
Paradigm Health
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Lead the development, testing, and deployment of ML models and pipelines, with a focus on scalability and integration into production systems.
- Design and refine GenAI/LLM-based models to streamline and automate clinical trial operations, from data gathering to real-time performance monitoring.
- Partner with clinicians, informaticists, data scientists, and engineers to build solutions aligned with Paradigm’s mission and goals.
- Drive improvements in model deployment infrastructure, develop monitoring tools, and refine model performance to ensure robust production-level reliability.
- Mentor junior ML engineers, contributing to team knowledge-sharing and establishing best practices for data science and machine learning.
- Present complex technical insights and results to both technical and non-technical stakeholders, advocating for data science-driven strategies that align with business objectives.
Requirements
- Master’s or PhD in computer science, statistics, machine learning, or a related field.
- 5+ years of experience as a machine learning engineer, with a proven track record in healthcare, life sciences, or a related field.
- Deep expertise in training, fine-tuning, and deploying ML models, including experience with GenAI/LLMs. Proficiency in Python, SQL, and familiarity with cloud infrastructure and ML engineering best practices.
- Experience managing production-level pipelines, including model deployment, monitoring, and continuous integration.
- Advanced analytical skills and a collaborative approach to solving complex challenges across teams.
- Adaptability and experience in fast-paced, mission-driven environments with high levels of ambiguity.
Benefits
- Competitive health, dental, and vision insurance
- Mental health support for you and your family through Spring Health
- Equity package
- Unlimited paid time off (PTO)
- 16 weeks of paid parental leave
- Flexible work options – remote and hybrid arrangements
- Company-paid life insurance
- Company-paid short-term and long-term disability coverage
- One Medical membership
- 401(k) plan with company match
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningML modelsGenAILLMPythonSQLmodel deploymentmonitoring toolsdata sciencecontinuous integration
Soft Skills
mentoringcollaborationanalytical skillscommunicationadaptabilityproblem-solvingknowledge-sharingstakeholder engagementteamworkleadership
Certifications
Master’s degreePhDcertification in machine learningcertification in data sciencecertification in statistics