Software Engineer, ML Infrastructure

Reposted 25 Days Ago
Easy Apply
2 Locations
In-Office
170K-230K Annually
Junior
Artificial Intelligence • Healthtech • Biotech • Pharmaceutical
The Role
The Software Engineer, MLOps will build cloud infrastructure, develop ML tooling, optimize workloads, and enhance CI/CD pipelines while supporting ML-focused projects.
Summary Generated by Built In

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.

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.

Hiring Salary Range
$170,000$230,000 USD

Top Skills

Airflow
Docker
Github Actions
Grafana
K8S
Kubeflow
Loki
Mlflow
PyTorch
Skypilot
Terraform
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The Company
HQ: Berkeley, California
23 Employees
Year Founded: 2022

What We Do

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Berkeley, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures. To learn more about our mission to decode the language of life with AI, visit profluent.bio

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