Staff Machine Learning Engineer

Bayesian Health · AI/ML

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Full TimePosted Sep 3, 2026

Source: Jobicy

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Specific countries

Limited to: USA — no hybrid days in this listing.

Not open from Hungary

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Category
AI/ML
Employment type
Full Time
Experience level
Staff

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61 of 257 AI/ML roles publish a salary

Typical AI/ML role$210,000 / year

Median of published salaries. Full reported spread in this market: $75,000–$351,000, outliers included.

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Original employer: Bayesian HealthSource ATS: JobicyLast checked: Sep 5, 2026Job status: Active

Bayesian Health is seeking a Staff Machine Learning Engineer to own the end-to-end lifecycle of clinical AI models in a fully remote, US-based role.

This role requires a blend of data science and production engineering to develop, deploy, and maintain real-time machine learning systems within a high-stakes clinical environment. You will be responsible for the entire pipeline, from prototyping to real-world performance evaluation and MLOps, working directly with healthcare data on AWS.

Why You’ll Love This Role

Remote from USA
Staff level seniority
High-impact clinical AI product focus
End-to-end model ownership
Full-time engagement

What You’ll Bring

Ph.D. in a relevant field with 3+ years of experience or Master's degree with 5+ years of experience shipping ML software
Proven track record of owning ML models from prototype to production
Advanced proficiency in writing production-grade Python and SQL code
Hands-on experience with MLOps tools including SageMaker and MLflow
Deep understanding of clinical use cases and applied ML methods

What You’ll Get

Benefits not specified in the listing

About the Company

Bayesian Health is an early-stage healthcare AI startup focused on improving patient outcomes through real-time clinical data insights. The company is backed by investors including Andreessen Horowitz and the American Medical Association’s venture arm, and has been recognized for its research in Nature Medicine.

Listing checked for remote eligibility · Posted Sep 3, 2026 · JobicyApply
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