Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI

The shape of it

In the posting’s own words

The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you’ll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

What it asks for · 5

• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster
• Experience with multi-node LLM training and inference
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• PhD or Masters in Computer Science or a related field

Degree language

• PhD or Masters in Computer Science or a related field

Tools and skills named

Words the posting leans on

• training8×
• algorithms5×
• enterprise5×
• research5×
• models3×
• post-training3×
• accelerate2×
• agent training2×
• applications2×
• art2×
• building2×
• client2×
• data2×
• development2×
• experience2×
• framework2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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