We are seeking a Machine Learning Research Engineer to join our Enterprise ML Research Lab. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real-life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state-of-the-art results through a combination of post-training + agent-building algorithms.
Key responsibilities include:
- Training state-of-the-art models, developed both internally and from the community, to deploy to our enterprise customers.
- Researching cutting-edge algorithms to integrate directly into our training stack.
- Building agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.
Ideal candidates will have 1-3 years of building with LLMs in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
You’ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
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