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Manager Rlhf Jobs in Bronx, NY (NOW HIRING)

Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF, and success measurement. * Thorough understanding of LLMOps, data pipelines and other common ...

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 ...

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$25.5K

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How much do manager rlhf jobs pay per year?

As of Jul 28, 2026, the average yearly pay for manager rlhf in Bronx, NY is $62,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $71,400.00 per year, depending on experience, location, and employer.
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Tech Lead Manager- MLRE, ML Systems

Tech Lead Manager- MLRE, ML Systems

Scale AI

Manhattan, NY • On-site

Full-time

Posted 8 days ago


Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th of 245 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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