Software Engineer, MLOps

Profluent; Bannockburn; Hybrid; USD 150,000 - 190,000; Full time

Job summary

A pioneering biotechnology company in Bannockburn is looking for a Software Engineer specializing in MLOps. You'll manage cloud infrastructure and optimize workflows within a dynamic team focused on advancing AI in biomedicine. Ideal candidates will have experience in cloud infrastructure, with a commitment to driving innovation. The role offers a competitive salary, health insurance, and opportunities for growth in a rapidly emerging field.

Benefits

Competitive compensation package

Health insurance (health/dental/vision)

Generous paid time off (PTO)

Commitment to physical and mental well-being

Qualifications

• 2+ years of industry experience with cloud infrastructure (GCP, AWS).
• Experience with production backend systems (database, services).
• Familiarity with ML frameworks like PyTorch.

Responsibilities

• Build and manage cloud infrastructure like K8s and Terraform.
• Standardize ML workflows into robust data pipelines.
• Optimize compute and storage workloads.

Skills

Cloud infrastructure management

Standardizing data pipelines

Optimization of workloads

Security best practices

Enhancing CI/CD pipelines

Education

BS in Computer Science or related field

Tools

Kubernetes

Terraform

Docker

Job description

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 Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.

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 Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures. Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways.

As we continue to push the boundaries of what is possible, we’re seeking a Software Engineer, MLOps 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)
• 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 working with 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

$150,000 - $190,000 USD

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