Foundation Models
Genesis Therapeutics · London
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Role summary
Genesis Therapeutics seeks a senior machine learning engineer to develop foundation models for robotics control, spanning dataset curation, model architecture, and training infrastructure. The role involves collaborating across simulation and real-world robotics teams to build large-scale datasets and generative models for embodied AI applications.
What they're looking for
- 5+ years pioneering new ML ideas or refining existing methods with publications or impactful projects
- Full-stack foundation model research and engineering expertise
- Production-level Python proficiency
- Strong commitment to data quality, rigorous evaluation, and attention to detail
- Experience with vision-language-action models, embodied perception, or video generation preferred
What you'll be doing
- Build end-to-end ML models for robotics: data curation, model design, training/inference, experiments
- Collaborate with simulation and robotics teams to curate large-scale, diverse, high-quality datasets
- Design generative simulation techniques to expand dataset scale and diversity
- Develop and evaluate generative models for 3D objects, environments, and language/code-based task generation
Privacy & handoff
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