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Persona AI is hiring a Robotics Machine Learning Engineer to drive our ML strategy for humanoid robotics designed for heavy industry settings. You will join as an inaugural ML Engineer and help shape the design and development of Persona’s robotics software stack, from perception to manipulation and locomotion, with real-world deployment in mind.
We seek candidates with 3+ years in robotics ML, experience with leading DL frameworks, cloud-based model development, and a strong grasp of
Job Title: Robotics Machine Learning Engineer
Department: Machine Learning
Reports To: Head of Machine Learning
Employment Type: Full-Time
Location: Pensacola, FL or Houston, TX
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'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.
Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.