Senior ML Engineer (AI Research, Physical AI)
New
J
JobgetherAI Research, Robotics
UKFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Excellent command of English
- Required Skills
- PythonMachine LearningDeep LearningComputer Vision
Requirements
- Strong theoretical understanding of machine learning, reinforcement learning, robotics, or related AI disciplines.
- Deep expertise in reinforcement learning, imitation learning, multimodal generative modeling, computer vision, robotics, or planning and control systems.
- Experience training and evaluating modern deep learning models, including transformer-based or multimodal foundation models.
- Significant experience training large-scale models across multiple computational nodes.
- Strong software engineering and algorithm development skills, primarily using Python.
- Experience with modern deep learning frameworks, particularly JAX or equivalent technologies.
- Ability to design rigorous machine learning experiments, analyze results, and draw meaningful conclusions.
- Excellent command of English, including technical writing and presentations.
- Familiarity with software engineering practices such as version control, testing, code reviews, and CI/CD.
Responsibilities
- Design, implement, train, and evaluate large-scale machine learning models and algorithms for robotic agents.
- Develop vision-language-action architectures that connect multimodal perception, language understanding, and physical control.
- Research and apply reinforcement learning, imitation learning, and learning-from-demonstration techniques for complex robotic tasks.
- Build scalable approaches for incorporating human demonstrations, simulation data, video, and autonomous robot experiences into AI models.
- Create datasets, evaluation methodologies, data-quality pipelines, and capture strategies for embodied learning systems.
- Develop simulation environments and conduct sim-to-real experiments on robotic platforms.
- Explore planning methods, guided generation, and action trajectory optimization for intelligent agents.
- Develop robust research software and distributed training infrastructure to accelerate experimentation.
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