Profluent
Machine Learning Scientist, Reinforcement Learning
Emeryville, California, United States; Hybrid (2-3 days on-site)
Sponsorship not specified$200k-$330kDetected 30 days ago
AlgorithmsAWSGCPAzureMachine LearningDeep LearningPyTorchSparkNLPStatisticsBioinformaticsResearchLab Research
About the role
- This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering.
- You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.
- Hiring Salary Range $200,000 - $330,000 USD
Responsibilities
- Architect, implement, and optimize core infrastructure to support the post-training of protein language models
- Curate relevant datasets and design tasks for rigorous evaluation of generative models
- Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
Requirements
- Preferences (but not required)
- Familiarity with foundational biology of proteins and nucleic acids
- Experience with cloud compute platforms (GCP, AWS, Azure, OCI)
- Previous experience in data extraction and curation from bioinformatics data sources
- Familiarity with wet lab experimental assays and associated limitations
- PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
- Experience with conceiving of, implementing, and evaluating novel machine learning and reinforcement learning techniques
- Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
- Experience with modern deep learning frameworks such as Pytorch or Jax
- Experience developing machine learning models for proteins (language models, structure prediction, design)
- 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
Compensation
- Hiring Salary Range $200,000 - $330,000 USD
Benefits
- Design and develop state-of-the-art online and offline reinforcement learning algorithms for protein design
- Collaborate across the machine learning and protein design teams to adapt and improve reinforcement learning techniques from other domains to protein design
- Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company
Equal opportunity
- equal opportunity employer promoting diversity and inclusion in the workspace.
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