Research Engineer, Distributed Training

About Us

Harmonic is a startup building the world’s most advanced mathematical reasoning engine, recently achieving Gold Medal-level performance on the 2025 International Math Olympiad (IMO). Backed by some of the world's most prominent investors, we are intentionally scaling our elite technical team.

We are seeking a highly motivated and skilled Research Engineer with expertise in model training, to focus on reasoning in formal and informal settings. The successful candidate will play a key role in scaling our reinforcement learning systems beyond human‑level capabilities.

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimization.

• Optimize and scale our training infrastructure to improve efficiency and reliability in a reinforcement learning setting.

• BS in Computer Science, related technical fields, or equivalent industry experience

• 2+ years of experience focused on training large language models

• Knowledge of cutting‑edge models, and experience building evaluations for model capability

• Expertise in Python and Py Torch

• Experience with distributed training, parallel computing, and GPU acceleration

• Strong experience with large‑scale GPU clusters, HPC environments, and job scheduling/orchestration tools (e.g., SLURM or Kubernetes).

• MS or PhD in Computer Science, Mathematics, or related technical fields

• Knowledge of reinforcement learning techniques

• Contributions to open‑source AI projects

• 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

Is Math the Path to Chatbots That Don't Make Stuff Up?

Training Data Podcast:
Why Vlad Tenev and Tudor Achim of Harmonic Think AI Is About to Change Math—and Why It Matters

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.