Harmonic
AI & Machine LearningDirect Ashby career site

Software Engineer, ML Systems

Location
Palo Alto, CA · On-site
Job type
Full-time
Level
Mid-level
Experience
2+ years
Education
Bachelor's degree
Listed
22 days ago

Skills & highlights for this role

  • Python
  • Kubernetes
  • ETL pipelines
  • reinforcement learning
  • CI/CD

Also useful

  • Kubeflow
  • Airflow
  • Metaflow
  • Docker
  • AWS
  • GCP
  • Azure

Stated benefits & perks

  • Unlimited pto
  • 401k match
  • Health
  • Dental
  • Vision

About the Role

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.

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. 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.

Minimum Qualifications

  • 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.

Preferred Qualifications

  • Full-stack ML experience: Comfortable moving from data engineering to model debugging.
  • Experience refactoring research-grade code into high-quality, scalable production packages.
  • Proven ability to design and implement complex data-loading and evaluation systems for non-deterministic models.
  • Experience with workflow orchestration tools (e.g., Kubeflow, Airflow, or Metaflow).
  • Experience managing large-scale experiments on cloud providers (AWS, GCP, or Azure).
  • Proven track record collaborating directly with researchers to translate algorithmic requirements into engineering roadmaps.
  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes).

What We Offer

  • Unlimited PTO
  • 401(k) matching
  • 100% employer-paid health, vision, and dental benefits for employees and 50% coverage for dependents. Harmonic offers varied health coverage options to select what is best for you and your family.
  • Health Savings Account (HSA) available for qualifying health plans

About Harmonic

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.

Read the original posting

From Harmonic's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Software Engineer, ML Systems job at Harmonic located?

This Software Engineer, ML Systems position at Harmonic is located in Palo Alto, CA (On-site). Always check Harmonic's application page for specific state eligibility or relocation policies.

What qualifications are required for Software Engineer, ML Systems at Harmonic?

For the Software Engineer, ML Systems role, Harmonic highlights 2+ years of relevant experience; a bachelor's degree; experience with Python, Kubernetes, ETL pipelines, reinforcement learning, CI/CD. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Software Engineer, ML Systems position at Harmonic?

This listing links directly to Harmonic's Ashby application page. You can apply directly on Harmonic's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.