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Manager Rlhf Jobs in New York (NOW HIRING)

AI Research Scientist

New York, NY · On-site +1

$190K - $220K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... managing datasets for AI systems. * Strong understanding of model evaluation metrics, experimental design, and statistical analysis. * Experience with SFT, DPO/RLHF, reinforcement learning, or ...

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

... RLHF, annotation, model evaluation) * STEM background or strong technical fluency * Python & REACT working knowledge * Experience managing distributed contributor workforces at scale * Background in ...

Traversal is an AI Site Reliability Engineer (SRE) trusted by major companies to manage complex ... RLHF, synthetic data pipelines, or LLM evaluation tooling. • Contributions to open-source agent ...

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Tech Lead Manager- MLRE, ML Systems

Scale AI

Manhattan, NY • On-site

Full-time

Re-posted 24 days ago


Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies


Job description

Job Summary:
Scale AI is a company focused on developing reliable AI systems for critical decisions. They are seeking a Tech Lead Manager for their ML Systems team to build and optimize a training and inference framework that supports machine learning research and development.
Responsibilities:
• Build, profile and optimize our training and inference framework.
• Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Research and integrate state-of-the-art technologies to optimize our ML system.
Qualifications:
Required:
• Passionate about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills to operate in a cross functional team environment.
Preferred:
• Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

What Scale AI employees say

Pay

Benefits

Hours and flexibility

Workplace

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