Machine Learning Engineer Job at EPM Scientific in san francisco
EPM Scientific, san francisco, ca, United States
We are looking for a Founding Machine Learning Engineer to lead the development of scalable ML systems for RNA biology at EPM Scientific.
Base Pay Range
$220,000.00/yr – $260,000.00/yr
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
- 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.
Seniority Level
Entry level
Employment Type
Full-time
Job Function
Research
Location: San Francisco, CA
#J-18808-Ljbffr