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Machine Learning Research Engineer
Profluent
Emeryville, California, United States; Hybrid (2-3 days on-site)Posted Jul 29, 2026 · 7h ago$200k – $330k
Full-time$200k – $330kMid LevelHybridBiotech
About this role
Profluent is seeking an experienced Machine Learning Engineer to build and optimize generative models and ML systems for protein design. You will deploy large-scale models, develop supporting infrastructure, and contribute to the evolution of the ML platform. This role offers significant ownership and the opportunity to shape the future of AI-driven protein design.
What we are looking for
6- Build robust pipelines for model fine-tuning, alignment, and evaluation
- Design and implement modular, multi-model protein design pipelines
- Develop scalable ETL pipelines for petabyte-scale protein data
- Optimize model training and inference code for scale
- Develop software and infrastructure for ML team efficiency
- Partner with scientists to prototype and productionize research ideas
Skills mentioned
5PythonAWSDockerKubernetesMachine Learning
Work authorization
Must be authorized to work without sponsorship.
