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Senior Machine Learning Scientist, Agentic AI

1 month ago
United States
Full-time
Senior
AI Research Scientist
Data Science and Analytics
LLM Machine Learning PyTorch React Statistics
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Natera

Natera

Natera specializes in cell-free DNA testing, providing advanced genetic testing services for oncology, women's health, and organ health to help families diagnose and manage genetic diseases.

Pharmaceuticals
1K-5K
Founded 2004
View All Jobs 63

Description

  • Lead the technical design and deployment of multi-agent systems for autonomous hypothesis generation and tool use.
  • Build and integrate pipelines for genomic variant calling, LLM fine-tuning, and clinical trial matching.
  • Advance transformer-based foundation models by integrating DNA, RNA, and H&E imaging modalities.
  • Implement LLM reasoning frameworks such as ReAct and Chain-of-Thought, along with reinforcement fine-tuning, to produce accurate and explainable clinical rationales.
  • Architect systems that translate multi-modal data into diagnostic and therapeutic insights with human-verifiable reasoning and tracing.
  • Own the technical strategy and product roadmap for agentic workflows across the Biopharma Solutions and Therapeutics Discovery division.
  • Establish production-grade machine learning engineering standards and reproducible architectures across the AI team.
  • Drive cross-functional alignment and technical consensus through rigorous peer review of agentic architectures and biological reasoning frameworks.

Requirements

  • PhD or Master’s degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field.
  • 8+ years of experience in AI research or engineering.
  • Proven track record of moving multi-agent orchestration architectures or large-scale language model workflows from prototype to production.
  • Deep experience with agentic frameworks such as LangChain or Claude Agent SDK.
  • Experience with retrieval-augmented generation (RAG) and validation frameworks for autonomous AI agents.
  • Strong understanding of cancer genomics (WES/WTS), mutational signatures, and structure-activity relationships.
  • Advanced production-level development experience using PyTorch.
  • Experience with distributed training on large GPU clusters, including NVIDIA H100s.
  • Ability to operate with strong ownership and independently drive architectural deployment.
  • Comfort defending scientific and engineering choices under rigorous internal peer review.

Benefits

  • Remote USA base salary range of $169,800 to $212,300 USD.
  • Annual performance incentive bonus.
  • Long-term equity awards.
  • Comprehensive health benefits, including medical, dental, and vision coverage.
  • 401(k) with company match.
  • Generous paid time off and company holidays.
  • Additional wellness and work-life benefits.
  • Free testing for employees and their immediate families, plus fertility care benefits.

Interested in this position?

Apply directly on the company website

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