Robotics Machine Learning Engineer
Persona AI Inc•Houston, TX
•Hybrid
About The Position
Persona AI is building humanoid robots for the most demanding environments in heavy industry — shipyards, steel mills, fabrication facilities, and offshore platforms — performing welding, grinding, maintenance, and inspection work. We are backed by leading investors and engaged with global industrial leaders. This role offers an incredible opportunity to shape the design and development of Persona’s humanoid robot as one of the inaugural Machine Learning Engineers.
Requirements
- 3+ years of experience in machine learning applied to robotics.
- Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.)
- Experience with cloud computing to develop models, store data, etc. (AWS, Azure, GCP)
- Strong understanding of the state of the art research in robot learning (behavior cloning for manipulation, reinforcement learning for locomotion, world models, etc.).
- Understanding of the challenges of deploying neural network models in the real world.
- Experienced in deploying both traditional and learning based approaches for robotics.
- Capable of writing high quality software.
- Strong first principles thinker.
Nice To Haves
- An advanced degree (Masters or PhD) in computer science, robotics, machine learning, or another related field.
- Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
- Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.
Responsibilities
- Collaborate on the design and development of the Persona ML software stack and support its application in manipulation, navigation, locomotion, and perception.
- Craft and execute a comprehensive plan for the development of machine learning models, keeping up to date with the state of the art in research and development.
- Develop, test, and deploy software, machine learning pipelines, and data collection pipelines.
- Monitor and evaluate the performance of models in the real world.
- Collaborate with Universities and other companies.
- Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.
Benefits
- Competitive compensation
- Performance-based bonus
- 99% employer covered medical benefits
- Early-stage equity
- Competitive PTO
- Company-wide paid winter break between December 24th and January 2nd
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
