As Senior Technical Writer, you’ll decide what Roboflow Labs should publish, write the pieces yourself, and own the editorial calendar. This is a senior individual contributor role focused on research stories, benchmarks, and AI conference submissions.
Locations (4)
San Francisco, California, United States
New York City, New York, United States
Singapore, Singapore
Brazil
Compensation
The target compensation for this role is $162,000 - $198,000. base salary commensurate with experience as well as equity in the company. Total cash comp is expected to scale significantly with growth of Roboflow Labs.
Responsibilities
Write research stories and content, benchmark deep dives, and launch posts.
Drive an ambitious research agenda in post-training, reinforcement learning, and agentic modeling to improve Gemini's reasoning, tool use, factuality and multimodal performance across global languages, dialects, and locales.
Develop scalable algorithms for cross-lingual capability transfer, synthetic data generation, reward modeling, and self-improvement flywheels that close the quality gap for both major global languages and low-resource languages.
Improve local and cultural grounding, factuality, naturalness, and language consistency across long-horizon multi-turn and multimodal interactions (text, speech, image, and video).
Design trustworthy evaluation methodologies, evaluations, and human-grounded reward signals to measure and steer complex agentic and culturally nuanced model behaviors.
Partner closely with core Gemini post-training, agentic, and pretraining/mid-training teams—as well as product partners across Google—to land research breakthroughs directly into flagship Gemini models.
Requirements
Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field, or equivalent practical experience.
Nice to have: translate open-ended research ideas into landed improvements in frontier models across multi-team collaborations
Interview researchers, dig into the results, and turn what you learn into clear, compelling pieces for a technical audience.
Set the editorial agenda and get work published.
Stay close to developments in AI training and evaluation so you can spot where Labs has something original to contribute.
Drive conference submissions for priority conferences such as NeurIPS and ICML.
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