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Machine Learning Research Engineer - Generative AI at Scale AI | San Francisco, CA & New York, NY

Scale AISan Francisco, CA; New York, NY
On-site Full-time $218.4K/yr - $273K/yr

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Experience Level

Mid to Senior

Qualifications

Your Responsibilities:Train state-of-the-art models developed both internally and sourced from the community for deployment to our enterprise clientele. Research innovative algorithms for direct integration into our training stack. Construct agents utilizing our proprietary agent-building algorithms to optimize datasets automatically, including defining high-performance tools, multi-agent systems, and intricate reward structures. Preferred Qualifications:1-3 years of experience working with Large Language Models (LLMs) in a production environment. Familiarity with post-training methods such as Reinforcement Learning from Human Feedback (RLHF) and Reinforcement Learning with Value Regression (RLVR), as well as related algorithms like Proximal Policy Optimization (PPO) and Generalized Recurrent Policy Optimization (GRPO). Recent publications in prestigious conferences such as NEURIPS, ICLR, or ICML within the past two years. PhD or Master's degree in Computer Science or a closely related field.

About the job

Artificial Intelligence (AI) is becoming increasingly crucial across all sectors of society. At Scale AI, our mission is to expedite the advancement of AI applications. With nine years of experience, we have established ourselves as the leading AI data foundry, facilitating groundbreaking developments in AI, including generative AI, defense applications, and autonomous vehicles. Following our recent investment from Meta, we are committed to enhancing our capabilities by developing cutting-edge post-training algorithms that are essential for optimizing complex agents in enterprises globally.

The Enterprise ML Research Lab is at the forefront of this AI revolution. We are dedicated to crafting a suite of proprietary research tools and resources that cater to all of our enterprise clients. As a Machine Learning Research Engineer focusing on Agents, you will apply our Agent Reinforcement Learning (RL) training and building algorithms to real-world enterprise datasets across our clients and benchmarks. Your role will involve developing top-tier Agents that achieve state-of-the-art results through a blend of post-training and agent-building algorithms.

If you are passionate about influencing the trajectory of the modern Generative AI movement, we would love to hear from you!

About Scale AI

Scale AI is at the forefront of AI innovation, dedicated to accelerating the development of transformative AI applications. Our expertise spans various domains, including generative AI and autonomous systems, supported by significant investments and a robust research foundation.

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