Harmonic AI
Software Engineer, ML Systems
Palo Alto · On-site · Full-time · Posted May 7, 2026
- Experience
- 2+ years of relevant industry experience.
- Education
- BS in Computer Science, a related technical field, or equivalent industry experience.
About the job
Productionize research pipelines and build scalable cloud infrastructure for reinforcement learning research and automated evaluation.
What you'll do
- Build and manage end-to-end ML pipelines for ETL and automated evaluation.
- Refactor inefficient research code and establish practices for versioning, experiment tracking, and CI/CD.
- Deploy and scale workloads on Kubernetes and build tooling and telemetry to monitor agent behavior and training health.
What they ask for
- BS in Computer Science, a related technical field, or equivalent industry experience.
- Expert-level Python skills and disciplined software engineering practices, including testing, versioning, and modular design.
- Experience building and managing end-to-end ML pipelines in a production or research-intensive environment.
Nice to have
- Experience with workflow orchestration tools such as Kubeflow, Airflow, or Metaflow.
- Experience managing large-scale cloud experiments and hands-on experience with Docker and Kubernetes.
Tools
Python, Kubernetes, Kubeflow, Airflow, Metaflow, AWS, GCP, Azure
AI focus
Productionize ML and reinforcement learning research pipelines, including evaluation systems and tooling to monitor agent behavior and training.
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