Jobs · greenhouse:scaleai
Machine Learning Research Engineer, Agents
Ironwood Digital · San Francisco, CA; New York, NY · Posted 28d ago
About the role
In this role, you will work on applying agent reinforcement learning training algorithms to enterprise datasets, building best-in-class agents that achieve state-of-the-art results. The position is located in San Francisco or New York, with a salary range of $250,000 to $350,000.
Read the full posting on greenhouse:scaleai →
Why this role stands out
- ★Equity is part of the package
- ★Early-stage startup — outsized ownership and impact
- ★equity
- ★commuter stipend
Responsibilities
- ▸Train state of the art models for enterprise customers
- ▸Research cutting edge algorithms for training stack
- ▸Build agents using proprietary algorithms
- ▸Define highly performant tools and complex rewards
Must-have skills
- ▸rlhf/rlvr
- ▸ppo/grpo
- ▸phd or masters in cs or related field
Benefits
- ▸equity
- ▸commuter stipend
FAQ
Is the Machine Learning Research Engineer, Agents role at Ironwood Digital remote?+
This Machine Learning Research Engineer, Agents position is listed as onsite (San Francisco, CA; New York, NY).
What is the salary for the Machine Learning Research Engineer, Agents role at Ironwood Digital?+
The listing states $250,000 - $350,000 USD.
What seniority level is this Machine Learning Research Engineer, Agents role?+
This is a unknown level position.
What skills does the Machine Learning Research Engineer, Agents role require?+
Key requirements include rlhf/rlvr, ppo/grpo, phd or masters in cs or related field.
How do I apply for the Machine Learning Research Engineer, Agents role at Ironwood Digital?+
Use the "Apply on greenhouse:scaleai" button to open the original posting on greenhouse:scaleai, where you can submit your application directly to Ironwood Digital.