Machine Learning EngineerEPM Scientific • San Francisco, CA, US
Machine Learning Engineer
EPM Scientific • San Francisco, CA, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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. Experience with biological or other high-dimensional scientific data. Background in computational biology, bioinformatics, or aligned fields. \tConducting Post Market Activities and Post Market Surveillance \tManaging Customer and Product Complaint Investigation programs \t1 YR. of experience in a technical role in the medical device / pharma / biotech industry \tBachelor's degree \tComputer proficiency \tConducting Post Market Activities and Post Market Surveillance\r\n \tManaging Customer and Product Complaint Investigation programs\r\nEducation and Experience : \r\n \t1 YR. of experience in a technical role in the medical device / pharma / biotech industry\r\n \tBachelor's degree\r\n \tComputer proficiency
Job Description
Job Description
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
Preferred :
Company Description
A top 10 pharmaceutical company with an immense amount of growth after releasing their at home COVID diagnostic tests is looking to bring on 200+ Quality Individuals through a massive hiring campaign. In their search for Quality Specialists, the organization is looking for individuals who will be responsible for reviewing and actioning customer complaints, as well as investigation into said complaints.
Job Responsibilities :
Education and Experience :
Company Description
A top 10 pharmaceutical company with an immense amount of growth after releasing their at home COVID diagnostic tests is looking to bring on 200+ Quality Individuals through a massive hiring campaign. In their search for Quality Specialists, the organization is looking for individuals who will be responsible for reviewing and actioning customer complaints, as well as investigation into said complaints.\r\nJob Responsibilities : \r\n
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