Savant Bio
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AI/ML Engineer
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Savant Bio Join to apply for the
AI/ML Engineer
role at
Savant Bio About Us:
Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale. We work with leading institutions across healthcare, life sciences, and research, supporting faster studies, sharper insights, and better care. Backed by Roivant (NASDAQ: ROIV), Savant is built for organizations that see structured data not just as an output, but as a foundation for innovation.
The Opportunity:
We’re hiring an AI/ML Engineer to help build and scale the infrastructure behind Savant’s clinical data structuring platform. In this role, you’ll work at the intersection of LLMs, applied machine learning, and healthcare data to develop production-grade pipelines that extract structured insights from messy, high-stakes records. This is a high-impact engineering role with full-stack exposure - from prototyping model workflows to deploying scalable inference systems. You’ll work closely with our product, clinical, and engineering teams to continuously improve model performance and delivery quality. If you’re excited to build real-world applications of LLMs, shape how AI gets deployed in healthcare, and operate with ownership in a fast-paced startup environment, we’d love to hear from you.
Some Things You Might Work On
Design and build robust ML pipelines to apply LLMs and other models to unstructured clinical text Develop and optimize systems for information extraction, entity resolution, data normalization, and QA Build and scale infrastructure for running model inference across large datasets Prototype, evaluate, and refine prompt strategies, model configurations, and workflows Implement internal tools for monitoring, observability, and iterative model improvement Translate research prototypes into reliable, testable, and maintainable production code Collaborate cross-functionally with clinical experts and product leads to embed domain knowledge into model workflows
What We're Looking For
3+ years of hands-on experience building and deploying ML/AI systems Strong Python development skills, including experience with production-quality ML codebases Familiarity with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, spaCy) Experience working with large-scale unstructured or semi-structured data Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability Comfort working in fast-paced, ambiguous environments where iteration is key Clear communicator with a collaborative mindset
Bonus Points For
Experience working with clinical or healthcare data (EMRs, registries, imaging, labs, etc.) Familiarity with model evaluation tooling, quality benchmarking, and drift detection Exposure to data privacy or compliance frameworks (HIPAA, de-ID workflows, etc.) Experience in an early-stage startup or small, fast-moving technical team
Why Join Us
Full-Stack AI Impact: Contribute across the ML lifecycle, from data to deployment Product-Embedded Work: Your contributions will ship as part of a real product, not just R&D Tight Collaboration: Work directly with cross-functional partners across clinical, product, and engineering Mission-Driven: Help unlock better healthcare by solving foundational data problems
Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $130,000 to $180,000 per year, with meaningful equity. The final salary offered may be outside this range based on individual circumstances and business and market conditions.
Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses and Company-sponsored benefit programs.
This position is at-will and Savant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions.
Savant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Referrals increase your chances of interviewing at Savant Bio by 2x Get notified about new Machine Learning Engineer jobs in
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AI/ML Engineer
role at
Savant Bio Join to apply for the
AI/ML Engineer
role at
Savant Bio About Us:
Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale. We work with leading institutions across healthcare, life sciences, and research, supporting faster studies, sharper insights, and better care. Backed by Roivant (NASDAQ: ROIV), Savant is built for organizations that see structured data not just as an output, but as a foundation for innovation.
The Opportunity:
We’re hiring an AI/ML Engineer to help build and scale the infrastructure behind Savant’s clinical data structuring platform. In this role, you’ll work at the intersection of LLMs, applied machine learning, and healthcare data to develop production-grade pipelines that extract structured insights from messy, high-stakes records. This is a high-impact engineering role with full-stack exposure - from prototyping model workflows to deploying scalable inference systems. You’ll work closely with our product, clinical, and engineering teams to continuously improve model performance and delivery quality. If you’re excited to build real-world applications of LLMs, shape how AI gets deployed in healthcare, and operate with ownership in a fast-paced startup environment, we’d love to hear from you.
Some Things You Might Work On
Design and build robust ML pipelines to apply LLMs and other models to unstructured clinical text Develop and optimize systems for information extraction, entity resolution, data normalization, and QA Build and scale infrastructure for running model inference across large datasets Prototype, evaluate, and refine prompt strategies, model configurations, and workflows Implement internal tools for monitoring, observability, and iterative model improvement Translate research prototypes into reliable, testable, and maintainable production code Collaborate cross-functionally with clinical experts and product leads to embed domain knowledge into model workflows
What We're Looking For
3+ years of hands-on experience building and deploying ML/AI systems Strong Python development skills, including experience with production-quality ML codebases Familiarity with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, spaCy) Experience working with large-scale unstructured or semi-structured data Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability Comfort working in fast-paced, ambiguous environments where iteration is key Clear communicator with a collaborative mindset
Bonus Points For
Experience working with clinical or healthcare data (EMRs, registries, imaging, labs, etc.) Familiarity with model evaluation tooling, quality benchmarking, and drift detection Exposure to data privacy or compliance frameworks (HIPAA, de-ID workflows, etc.) Experience in an early-stage startup or small, fast-moving technical team
Why Join Us
Full-Stack AI Impact: Contribute across the ML lifecycle, from data to deployment Product-Embedded Work: Your contributions will ship as part of a real product, not just R&D Tight Collaboration: Work directly with cross-functional partners across clinical, product, and engineering Mission-Driven: Help unlock better healthcare by solving foundational data problems
Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $130,000 to $180,000 per year, with meaningful equity. The final salary offered may be outside this range based on individual circumstances and business and market conditions.
Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses and Company-sponsored benefit programs.
This position is at-will and Savant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions.
Savant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Referrals increase your chances of interviewing at Savant Bio by 2x Get notified about new Machine Learning Engineer jobs in
New York, NY . New York, NY $130,000.00-$180,000.00 6 months ago New York, NY $220,000.00-$260,000.00 2 weeks ago New York, NY $70,000.00-$150,000.00 2 weeks ago New York, NY $99,500.00-$200,000.00 1 week ago Brooklyn, NY $150,000.00-$200,000.00 3 months ago New York, NY $140,000.00-$200,000.00 2 weeks ago New York, NY $120,000.00-$180,000.00 5 months ago Want to work with us, but don't see the right job listed?
Full Stack Software Engineer (All Levels)
New York, NY $125,000.00-$175,000.00 1 week ago New York, NY $140,000.00-$140,000.00 1 month ago New York, NY $99,500.00-$200,000.00 1 week ago New York, NY $235,000.00-$255,000.00 2 days ago New York, NY $150,000.00-$180,000.00 5 days ago New York, NY $163,200.00-$223,200.00 1 day ago New York, NY $176,000.00-$250,000.00 1 week ago Backend Software Engineer, CloudKitchens - New York City
New York, NY $120,000.00-$220,000.00 1 month ago New York, NY $145,000.00-$260,000.00 9 months ago New York, NY $120,000.00-$140,000.00 3 weeks ago New York, NY $130,000.00-$240,000.00 1 week ago Don't see the right opportunity? Apply here!
New York, NY $165,000.00-$165,000.00 1 year ago New York, NY $190,000.00-$250,000.00 1 week ago Software Engineer, AI Intern (Summer 2026)
New York, NY $140,000.00-$200,000.00 1 month ago New York, NY $140,000.00-$170,000.00 3 months ago New York, NY $70,000.00-$150,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr