Distributed environments jobs

Lead research and engineering projects in reinforcement learning for vision‑language models, advancing multimodal reasoning and visual understanding.

Locations (3)

Mountain View, California, United States
Redmond, Washington, United States
New York City, New York, United States

Compensation

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Responsibilities

Advance visual understanding and multimodal reasoning through reinforcement learning, translating capability gaps into concrete research hypotheses and measurable improvements.
Develop targeted training tasks and data, including synthetic data, to address these gaps.
Design and validate rewards, verifiers, rubrics, and model‑based judges for both verifiable and open‑ended visual tasks, detecting and mitigating reward hacking.
Build evaluations and conduct controlled experiments, ablations, and detailed failure analysis.
Collaborate with scaling, multimodal, data, and safety teams to integrate improvements while preserving broader model capabilities.

Requirements

Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field
Master's degree in a related field
PhD in a related field
Nice to have: Python
Nice to have: PyTorch

Skills

Python PyTorch deep learning reinforcement learning vision‑language modeling synthetic data reward models distributed environments

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Reinforcement Learning for Vision-Language Models

Reinforcement Learning for Vision-Language Models

Locations (3)

Compensation

Responsibilities

Requirements

Skills

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Requirements

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