ML Systems Engineer: Production Pipelines & Cloud Infra

Harmonic; Palo Alto (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Unlimited PTO

401(k) matching

100% employer-paid health, vision, and dental benefits

Health Savings Account (HSA)

Job summary

Harmonic in Palo Alto is seeking a pragmatic Software Engineer to lead the productionization of research pipelines within our advanced AI projects. You will engage in building robust ML pipelines as part of a cutting-edge team, ensuring efficient coding practices and scalable cloud infrastructure.

The ideal candidate possesses strong Python skills, relevant industry experience, and a proficiency in managing end-to-end machine learning setups. Harmonic offers generous benefits including unlimited PTO and comprehensive health coverage.

Qualifications

• 2+ years of relevant industry experience.
• Experience in a production or research-intensive environment.
• Ability to manage cloud resources (AWS, GCP, Azure).

Responsibilities

• Build and manage end-to-end ML pipelines for RL research.
• Identify and refactor inefficient research code.
• Establish best practices for versioning and CI/CD.

Skills

Expert-level Python skills

End-to-end ML pipelines

Testing and versioning

Modular design

Education

BS in Computer Science or related field

Tools

Kubernetes

Docker

Workflow orchestration tools (Kubeflow, Airflow)

Job description

Harmonic in Palo Alto is seeking a pragmatic Software Engineer to lead the productionization of research pipelines within our advanced AI projects. You will engage in building robust ML pipelines as part of a cutting-edge team, ensuring efficient coding practices and scalable cloud infrastructure.

The ideal candidate possesses strong Python skills, relevant industry experience, and a proficiency in managing end-to-end machine learning setups. Harmonic offers generous benefits including unlimited PTO and comprehensive health coverage.