ML Systems Engineer — Production Pipelines & Kubernetes

Harmonic Security; Palo Alto (CA); In loco; USD 140.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Unlimited PTO

401(k) matching

100% employer-paid health, vision, and

dental benefits for employees and 50%

Health Savings Account (HSA) available

Descrizione del lavoro

Harmonic is seeking a pragmatic Software Engineer to own the productionization of our research pipelines in Palo Alto. This implementation-heavy role requires turning nascent ideas into scalable, reliable ML workflows running in our cloud infrastructure.

You will build end-to-end ML pipelines, refactor research code, establish CI/CD for models, and manage Kubernetes deployments with observability tooling to monitor training health.

Competenze

• BS in Computer Science, a related technical field, or equivalent industry experience.
• 2+ years of relevant industry experience.
• Expert-level Python skills and a disciplined approach to software engineering (testing, versioning, and modular design).
• Experience building and managing end-to-end ML pipelines in a production or research-intensive environment.

Mansioni

• Pipeline Engineering: Build and manage end-to-end ML pipelines (ETL and automated evaluation) that are the bedrock of our RL research.
• Bottleneck Resolution: Identify and refactor inefficient research code. You act as the primary engineer ensuring that a promising idea reaches its full potential through scalable code.
• Standardization: Establish best practices for versioning, experiment tracking, and CI/CD for ML models to ensure reliability.
• Cloud Infrastructure & Observability: Manage the deployment and scaling of workloads on Kubernetes. Implement the tooling and telemetry that allows the team to understand agent behavior and training health at a glance.

Conoscenze

Python

End-to-end ML pipelines

Software engineering discipline

Formazione

BS in Computer Science or related field

Equivalent industry experience

Strumenti

Docker

Kubernetes

Kubeflow

Airflow

Metaflow

AWS/GCP/Azure

Descrizione del lavoro

Harmonic is seeking a pragmatic Software Engineer to own the productionization of our research pipelines in Palo Alto. This implementation-heavy role requires turning nascent ideas into scalable, reliable ML workflows running in our cloud infrastructure.

You will build end-to-end ML pipelines, refactor research code, establish CI/CD for models, and manage Kubernetes deployments with observability tooling to monitor training health.