> Markdown version of [/jobs/ext/4625501-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4625501-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** EPM Scientific
- **Location:** San Francisco, CA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Computational Biology, Computer Programming, Data Infrastructure, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Deep Learning, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_218e5918d1804bd00fda7583c776088a

## About the Role

* 4+ 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.

## Description

* 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.