Robotics ML Engineer for Real-World Robots

Persona AI

Houston (TX)

On-site

USD 120,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Medical benefits
Equity
Paid time off
Winter break

Job summary

Persona AI in Houston, TX is seeking a Robotics Machine Learning Engineer to drive large-scale ML infrastructure for humanoid robots used in heavy industry. You will work on data pipelines, training systems, and robot evaluation in simulation and on hardware, building robust production software across ML components.

You will deploy models, optimize pipelines, and contribute to a fast-paced, collaborative team focused on scalable robot learning.

Qualifications

  • 3+ years of experience applying ML to robotics.
  • Bachelor's, Master's, or PhD in Robotics, CS, or related field.
  • Production ML software deployment experience.
  • Cloud computing experience (AWS, Azure, GCP).
  • Strong experience with deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Ability to write high-quality software in Python, C++, or Rust.

Responsibilities

  • Contribute to Persona’s large-scale ML software stack across data, training, and evaluation.
  • Design and implement scalable ML software infrastructure.
  • Collaborate with ML team to plan development of ML models.
  • Develop comprehensive test suites for ML pipelines.
  • Leverage cloud platforms for flexible compute and data management.
  • Keep up to date with state-of-the-art ML research and development.
  • Collaborate in growing the Machine Learning and Data teams.

Skills

Machine Learning
Robotics
Python
C++
Rust
PyTorch
TensorFlow
JAX
Cloud Platforms
Docker

Education

Bachelor's degree in Robotics/CS
Master's degree
PhD

Tools

Docker
CI/CD
Kubernetes

Job description

Persona AI in Houston, TX is seeking a Robotics Machine Learning Engineer to drive large-scale ML infrastructure for humanoid robots used in heavy industry. You will work on data pipelines, training systems, and robot evaluation in simulation and on hardware, building robust production software across ML components.

You will deploy models, optimize pipelines, and contribute to a fast-paced, collaborative team focused on scalable robot learning.

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