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Machine Learning Research Engineer

Profluent
Location
Emeryville, California, United States; Hybrid (2-3 days on-site)
Posted
2 months ago
Department
Machine Learning
What they actually want (must-haves)
  • BS or MS in Computer Science, Machine Learning, or a related field
  • 3+ years of hands-on experience building and training ML models in PyTorch
  • Strong Python and software engineering fundamentals, including testing, code quality, and version control
  • Experience profiling, benchmarking, and optimizing ML model training and inference
  • Experience implementing or optimizing transformer-based architectures
  • Familiarity with cloud infrastructure and containerization (GCP, AWS, Azure, Kubernetes, Docker)
Nice to have
  • Familiarity with protein language models or computational biology
  • Experience with GPU-level optimization (CUDA, Triton)
  • Experience with distributed training (DDP, FSDP, multi-node GPU clusters)
  • Experience with databases and data processing pipelines
  • Experience orchestrating multi-step ML workflows
What the job really is

As a Machine Learning Research Engineer at Profluent, you will focus on building and optimizing large-scale generative models for protein design. Your responsibilities include developing user-friendly pipelines for model fine-tuning, creating scalable ETL pipelines for processing protein data, and collaborating with scientists to bring research ideas into production. This role offers significant ownership of the ML stack within a fast-paced engineering team.

Benefits
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology
Things to weigh
  • No specific mention of remote work flexibility beyond hybrid model
  • The role involves significant ownership, which may require a high level of independence
  • Focus on protein design may limit exposure to other areas of machine learning
Job score2.8/5
Benefits3/5
Freshness1/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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