Backed by 500 Global.
About the role
We're looking for a Machine Learning Engineer to drive our machine learning strategy. We are primarily interested in candidates who have developed and released products to market, but can be flexible depending on aptitude and energy. As one of the inaugural Machine Learning Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona’s humanoid robot.
What they're looking for
- Courage and grit to tackle some of the hardest problems in embodied AI
- Enthusiasm for working collaboratively in a high paced team environment
- 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.)
More about this role
Job Title: Robotics Machine Learning Engineer
Travel: 10%
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, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world’s leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
You’ll shape technology that’s redefining the possibilities of robotics and human interaction.
Work alongside passionate teammates who value creativity, and continuous...
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