Research Engineer

About the role

About us

We're solving AI's hardest problem: alignment.

Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ of the world's leading AI teams, including Woven by Toyota, Hitachi, Skydio, AbbVie and Dyna, Walden and Agility Robotics. From autonomous vehicles and robotics to sports and healthcare, we're solving AI's hardest problem: turning complex, real-world data into production-ready intelligent systems.

We're a team of founders, scientists, quants, researchers, and former Olympians, who’ve helped build some of the most successful companies in Silicon Valley, and alumni of MIT, Stanford, UC Berkeley, Oxford, Cambridge, and Imperial. We’ve raised $110M from legendary technology investors, early backers of companies like Databricks, ElevenLabs and Vercel, and we’re growing at an extraordinary pace.

We're looking for exceptional people who want to help build a category-defining company, operating with high urgency and taking real ownership to help shape the future of AI.

The role

We're looking for a Research Engineer to join Encord's ML team. You'll work on robotics, computer vision and multimodal research in data curation, annotation, evaluation and quality control, with successful work going into the core product.

We face a variety of interesting research problems across the full data life-cycle, including annotation, quality control, verification and curation. We are looking to strengthen our team to build upon and extend our market-leading platform. The kind of problems we solve are constantly evolving alongside the needs of our frontier customers, including many of the leading robotics and physical AI teams. Join us as we leverage our massive flow of proprietary data on our journey to develop generalised solutions applicable across diverse multi-modal tasks.

What you'll do

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Form hypotheses, design experiments, and drive original research on open problems from leading robotics and AI customers

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Research and prototype agentic workflows which can handle multimodal inputs and diverse customer ontologies

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Advance our work on data curation and model evaluation

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Tackle egocentric video understanding, from captioning to deeper 3d understanding

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Build working prototypes to test ideas end to end, then partner with our ML systems and Product Engineering teammates to bring them into the platform

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Help shape our longer-term research direction and bring the most relevant ideas from the field back to the team

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Publish research papers and present your work at conferences and workshops

Who we're looking for

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A builder with a research mindset. You can take an open-ended problem, form a hypothesis and get to a working prototype without a detailed spec.