Robotics ML Engineer: Scale Learning for Industrial Robots

Persona AI; Houston (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Performance bonus

Medical benefits

Equity

PTO

Job summary

Persona AI in Houston seeks a Machine Learning Engineer to advance large-scale ML infrastructure for humanoid robots operating in heavy industry. You will work on data pipelines, training infrastructure, and robot evaluation both in simulation and on hardware.

Ideal candidates have 3+ years in robotics ML, strong Python/C++/Rust, and experience deploying production ML. Collaboration in a fast-paced team is essential; cloud platforms and Docker are a plus.

Qualifications

• 3+ years of ML experience applied to robotics.
• Bachelor's/Master's/PhD in Robotics, CS, or related field.
• Experience deploying production ML software.
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong skills in Python, C++, or Rust.
• Excellent collaboration in fast-paced teams.

Responsibilities

• Contribute to Persona’s large-scale ML software stack across data, training, and evaluation.
• Design and implement the ML software infrastructure with thoughtful abstraction and scalability.
• Work with the ML team to craft and execute a plan for developing machine learning models.
• Develop comprehensive test suites to ensure correct and performant ML pipelines.
• Leverage cloud platforms for flexible compute capacity, data management, and automation.
• Keep up to date with state-of-the-art ML research and development.
• Collaborate in attracting, nurturing, and growing the ML and Data teams.

Skills

ML for robotics

Python

C++

Cloud computing

Deep learning frameworks

Education

Bachelor's/Master's/PhD in Robotics, CS, or related field

Tools

ROS

Docker

PyTorch

TensorFlow

JAX

Job description

Persona AI in Houston seeks a Machine Learning Engineer to advance large-scale ML infrastructure for humanoid robots operating in heavy industry. You will work on data pipelines, training infrastructure, and robot evaluation both in simulation and on hardware.

Ideal candidates have 3+ years in robotics ML, strong Python/C++/Rust, and experience deploying production ML. Collaboration in a fast-paced team is essential; cloud platforms and Docker are a plus.