Software Engineer, ML Systems

Palo Altofull-timemid

Software EngineerSoftware Engineering

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Quick Summary

Key Responsibilities

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.

Requirements Summary

Full-stack ML experience: Comfortable moving from data engineering to model debugging. Experience refactoring research-grade code into high-quality, scalable production packages.

Technical Tools

airflowawsazuredockergcpkubernetespythonci-cdetl

At Harmonic, we are building a mathematical reasoning engine that operates with absolute precision. While most AI makes maximum-likelihood guesses, Harmonic's Aristotle uses Lean 4 and reinforcement learning to verify its reasoning and results.

Following our Gold Medal-level performance on the 2025 International Math Olympiad (IMO) and the successful resolution of long-standing open problems, we are proving that AI can master the most rigorous domains of human thought. Backed by some of the world’s most prominent investors, we are intentionally scaling an elite technical team.

About the Role

~1 min read

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.

Responsibilities

~1 min read

Requirements

~1 min read

Harmonic is committed to diversity and inclusivity in the workplace. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.