Machine Learning Research Scientist, Post-Training

The shape of it

In the posting’s own words

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities.

What it asks for · 3

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
• Previous experience in a customer facing role.

Degree language

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.

Tools and skills named

Words the posting leans on

• model6×
• research6×
• learning4×
• capabilities2×
• conferences2×
• data2×
• deep2×
• develop novel2×
• development2×
• engineers2×
• enhance llm2×
• experience2×
• generative models2×
• labs provide2×
• large-scale2×
• machine learning2×

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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