EPM Scientific
Founding Machine Learning Engineer
EPM Scientific, San Francisco, California, United States, 94199
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 Direct message the job poster from EPM Scientific 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 Referrals increase your chances of interviewing at EPM Scientific by 2x Get notified about new Machine Learning Engineer jobs in
San Francisco County, CA .
#J-18808-Ljbffr
$150,000.00/yr - $200,000.00/yr Direct message the job poster from EPM Scientific 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 Referrals increase your chances of interviewing at EPM Scientific by 2x Get notified about new Machine Learning Engineer jobs in
San Francisco County, CA .
#J-18808-Ljbffr