Job Details

Founding Machine Learning Engineer

  2025-10-12     EPM scientific     San Francisco,CA  
Description:

This range is provided by EPM Scientific. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $200,000.00/yr

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Vice President - AI/ML at EPM Scientific

Founding Machine Learning Engineer

An early-stage startup led by veterans from top AI labs is using machine learning to unlock breakthroughs in RNA biology. This is an opportunity to join a team at the cutting edge of AI-driven molecular design, where your work will directly accelerate the development of next-generation therapeutics and biological systems.

As an early hire, you'll have significant ownership over the technical stack and play a key role in shaping the company's culture and trajectory. If you're excited by the idea of building scalable ML systems in a fast-moving, interdisciplinary environment, this role is for you.

Responsibilities

  • Design and implement high-performance training pipelines for large-scale RNA models.
  • Develop distributed training strategies across multi-GPU/TPU environments for maximum efficiency.
  • Build robust data infrastructure for ingesting, cleaning, and managing complex biological datasets.
  • Collaborate with research scientists to translate RNA-focused challenges into ML solutions.
  • Contribute to model architecture design, fine-tuning strategies, and performance benchmarking.
  • Establish best practices for reproducibility, testing, and deployment in ML workflows.

Qualifications

  • 3+ years of experience in machine learning engineering or related roles.
  • Strong programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).
  • Hands-on experience training large-scale models (transformers, diffusion, or similar).
  • Expertise in distributed training, optimization, and performance profiling.
  • Proven ability to deliver production-grade ML systems.

Preferred

  • Experience with biological or other high-dimensional scientific data.
  • Background in computational biology, bioinformatics, or aligned fields.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Science
  • Industries
  • Pharmaceutical Manufacturing

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