Software Engineer, Harmonic

• 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

Desirable

• We are looking for a pragmatic, Software Engineer to own the productionization of our research pipelines
• This is an implementation-heavy role designed for an engineer who can take a nascent research idea and build the robust, scalable machinery required to prove it at scale within our cloud infrastructure
• 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