Profluent
Software Engineer, Machine Learning Platform
$212K–$339K
Emeryville, California, United States +3 · Full-time · Posted Aug 7, 2026
- Location
- Emeryville, California, United States
Hybrid (2-3 days on-site)
Emeryville, California, United States
Hybrid (2-3 days on-site) - Experience
- 5+ years of experience in backend or full-stack engineering.
- Education
- BS, MS, or PhD in computer science or a related field, or equivalent experience.
- Visa sponsorship
- Legal authorization to work in the United States is required; hired employees must verify identity and work eligibility and complete the required employment verification form upon hire.
About the job
Builds and maintains machine-learning infrastructure, research tools, and protein-design software, from user research and system design through deployment.
What you'll do
- Build and maintain infrastructure for model training, inference, and protein design.
- Develop reusable research and protein-design workflows with scientists.
- Optimize training and inference workloads, costs, and service reliability through CI/CD, monitoring, and alerting.
What they ask for
- BS, MS, or PhD in computer science or a related field, or equivalent experience.
- 5+ years of experience in backend or full-stack engineering.
- Experience building tools, platforms, or infrastructure for technical users.
- Experience building high-performance systems.
Nice to have
- Experience building research tooling for ML or production backend systems serving ML models.
- Familiarity with ML frameworks such as PyTorch and MLflow.
Pay
$212,000 — $339,000 USD (base salary)
Tools
PyTorch, MLflow
AI focus
Build infrastructure and tooling for training, evaluating, and serving machine-learning models, and support AI-driven protein design.
Model-written summary · the original posting is authoritative