As we continue to push the boundaries of what is possible, we’re seeking a Software Engineer, ML Infrastructure on the machine learning team to support our ML infrastructure and build tooling/workflows for ML focused workloads. As an early member of the company, you’ll have a lot of autonomy to make decisions about the systems we’ll use and build. You’ll have the opportunity to grow into different areas as you work across the ML stack, while learning more about the challenges in biology.

Responsibilities

• Build and manage cloud infrastructure (e.g K8s, Terraform)
• Develop tooling around ML workloads (e.g Skypilot, Kubeflow, Loki, Grafana)
• Support our Progen3 model API offering
• Standardize common data and ML workflows into robust pipelines (e.g Airflow, Kubeflow Pipelines)
• Optimize workloads and reduce costs for compute and storage
• Ensure security best practices are followed (e.g least privilege principle, token management)
• Enhance our CI/CD pipelines to catch regressions (e.g Github Actions)

Qualifications

• BS in Computer Science or a related field
• 2+ years of industry experience managing cloud infrastructure (GCP, AWS, Neo-Clouds, …)
• Familiarity with K8s, Terraform, and Docker
• Worked with production backend systems (database, services, etc)

Preferences (but not required)

• Experienced with the challenges of working with large scale ML models
• Experience with transitioning research ideas into production
• Familiarity with ML frameworks such as PyTorch, MLFlow
• Interested in the intersection between biology and AI

What we offer at Profluent

• A high-growth opportunity with meaningful impact
• Competitive compensation package
• Health insurance (health/dental/vision)
• Generous paid time off (PTO) policy
• Commitment to physical and mental well-being
• More benefits and perks to be added!

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.