Machine Learning Engineer

EPM Scientific; San Francisco (CA); On-site; USD 220,000 - 260,000; Full time

Job summary

A biotechnology firm in San Francisco is searching for a Founding Machine Learning Engineer to develop scalable ML systems focused on RNA biology. This entry-level full-time role involves designing training pipelines, developing distributed training strategies, and collaborating closely with research scientists. Candidates should have at least 4 years of experience in machine learning engineering and strong Python programming skills, along with expertise in deep learning frameworks. Competitive salary package available.

Qualifications

• 4+ years of experience in machine learning engineering or related roles.
• Proven ability to deliver production-grade ML systems.
• Hands-on experience training large-scale models (transformers, diffusion, or similar).

Responsibilities

• Design and implement high-performance training pipelines for large-scale RNA models.
• Develop distributed training strategies across multi-GPU/TPU environments.
• Collaborate with research scientists to translate RNA-focused challenges into ML solutions.

Skills

Machine learning engineering

Python programming

Deep learning frameworks (PyTorch, JAX, TensorFlow)

Distributed training

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