Senior Machine Learning Engineer

5 days ago

San Francisco, CA, United States Quantix Search Full time

Senior Machine Learning Engineer

San Francisco | Hybrid, 3 days/week | $200K - $280K + equity

We are excited to partner with a rapidly growing healthtech startup that has successfully raised $40M in Series A funding to enhance their engineering team. Their innovative AI-powered platform is transforming the healthcare landscape by automating significant back-office operations. They are seeking a skilled engineer to bring their impressive machine learning copilots from demonstration to full-scale production.

Key Responsibilities:

  • Develop and scale machine learning systems that drive impactful healthcare products
  • Engage throughout the entire ML lifecycle, overseeing everything from data pipelines to model training and deployment
  • Customize and optimize large foundational models for practical use cases
  • Enhance the speed, cost-efficiency, and performance of AI functions in production
  • Provide technical guidance and mentorship to a junior machine learning engineer

Qualifications:

  • 5+ years of hands-on experience in building machine learning systems for production use
  • Proficient in Python, with experience in PyTorch or JAX considered a plus
  • Demonstrated background in transitioning research concepts into production-ready services
  • Strong understanding of model evaluation and impact assessment
  • Familiarity with contemporary LLM/AI methodologies including LoRA, RAG, structured prompts, and model optimization

If you believe this opportunity aligns with your skills and aspirations, we encourage you to apply and learn more about this exciting role

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