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Manager Rlhf Jobs in New York (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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AI Engineer

New York, NY · On-site

$200K - $300K/yr

Design strategies to manage latency, output variance, and graceful error handling at scale ... Research or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained ...

GenAI Product Engineering Lead

New York, NY · Remote

$104K - $138K/yr

Key Responsibilities Technical Leadership & Team Management * Lead, mentor, and grow a high ... RLHF) or synthetic data augmentation. • Establish model-drift detection and retraining triggers ...

Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to ... Familiarity with foundation model adaptation techniques such as PEFT, LoRA, or RLHF. * Self ...

Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to ... Familiarity with foundation model adaptation techniques such as PEFT, LoRA, or RLHF. * Self ...

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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 13 days ago


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.