Research Engineer
Salary not listed • London • Full-time
Posted 18d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Research Engineer
About the job
Encord is seeking a Research Engineer to join its ML team, focusing on robotics, computer vision, and multimodal research. This role involves working on data curation, annotation, evaluation, and quality control, with successful projects integrated into the core product. You will tackle evolving research problems across the entire data lifecycle, contributing to a market-leading platform. The position offers the opportunity to develop generalized solutions for diverse multi-modal tasks using a massive flow of proprietary data, working alongside leading robotics and physical AI teams.
Responsibilities
- Form hypotheses, design experiments, and drive original research on open problems from leading robotics and AI customers.
- Research and prototype agentic workflows for multimodal inputs and diverse customer ontologies.
- Advance work on data curation and model evaluation.
- Tackle egocentric video understanding, including captioning and 3D understanding.
- Build working prototypes to test ideas end-to-end and collaborate with ML systems and Product Engineering teams for product integration.
- Help shape longer-term research direction and integrate relevant field advancements.
- Publish research papers and present work at conferences and workshops.
Requirements
- PhD in computer vision, machine learning, or a related field, or equivalent applied research experience.
- Strong background in computer vision and multimodal ML, including traditional CV, VLMs, and embedding models.
- Clear evidence of independent research (publications, thesis, open-source work, or original contributions in applied research).
- Solid mathematical foundations in statistics, probability, and linear algebra.
- Strong Python and PyTorch skills, with experience in end-to-end experiment execution.
- Genuine interest in data-centric AI: curation, evaluation, and data quality.
- Bonus: Experience applying LLM-based agents to visual tasks or working with video, 3D, or other complex data types.
Benefits
- Competitive salary, commission, and meaningful equity.
- Clear, accelerated growth opportunities.
- Strong in-person culture: 4 days/week.
- Daily team lunches & dinners.
- Annual learning & development budget.
- Comprehensive health, dental, and vision coverage.
- UK employees: 25 paid vacation days plus UK public holidays.
- Frequent travel opportunities.
- Bi-annual company offsites & monthly socials.