2 months ago
Oakland, CA, USASenior
Base Salary
$200k - $330k/yr
Responsibilities
- Build and maintain infrastructure for model training.
- Build and maintain infrastructure and software for model inference and protein design.
- Work with ML scientists to standardize research workflows into reusable tooling.
- Identify and implement tooling opportunities that enable or accelerate research.
- Work with protein design scientists to create reproducible, standardized workflows.
- Optimize training and inference workloads to reduce compute and storage costs.
- Implement CI/CD, monitoring, and alerting for services and applications.
- Follow and share engineering best practices across the team.
Requirements
- BS, MS, or PhD in computer science or a related field, or equivalent experience.
- At least five years of backend or full-stack engineering experience.
- Experience building tools, platforms, or infrastructure for technical users such as engineers, researchers, data scientists, or analysts.
- Experience building high-performance systems.
- A track record of building systems and software that other engineers and users value.
- Experience building research tooling for machine learning is preferred.
- Experience building backend systems that serve machine learning models in production is preferred.
- Experience transitioning research ideas into production is preferred.
- Familiarity with PyTorch and MLflow is preferred.
- Interest in the intersection of biology and AI is preferred.
- Contributions to open source projects with strong user communities are preferred.
- Legal authorization to work in the United States is required.
Benefits
- Competitive compensation package with equity participation
- 401(k) with a strong employer match
- Health, dental, and vision insurance
- Generous PTO policy and commitment to work-life balance
- Professional development opportunities
- Legal authorization to work in the United States is required
- Full-time employment with employment eligibility verification upon hire
Tech Stack
MLflowPyTorch
Categories
About Profluent
Profluent builds generative AI models to design and experimentally validate novel proteins, with applications in therapeutics, gene editing, and other areas of biomedicine. The company combines large-scale foundation models with wet-lab screening to create functional molecules for partners and internal programs. Founded in 2022 and headquartered in Emeryville, California, Profluent is privately held.