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 EPM Scientific
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