About this opportunity
EPM Scientific lists this Machine Learning Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.