Robotics Machine Learning Engineer

Persona AI

$90K — $130K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in machine learning applied to robotics.
  • Experience with deep learning frameworks (e.g., Pytorch, TensorFlow, JAX).
  • Experience with cloud computing (AWS, Azure, GCP) for model development and data storage.
  • Strong understanding of advanced robot learning techniques like behavior cloning and reinforcement learning.
  • Capability to write high-quality software.

Responsibilities

  • Collaborate on designing and developing the Persona ML software stack for various robotic functions.
  • Craft and execute a comprehensive development plan for machine learning models.
  • Develop, test, and deploy software and data collection pipelines.
  • Monitor and evaluate model performance in real-world scenarios.
  • Build partnerships with universities and other companies.
  • Help grow and nurture the machine learning and autonomy teams.

Benefits

  • Opportunity to shape the development of a humanoid robot from early stages.
  • Collaborative work environment with a focus on innovation in the robotics field.
  • Flexibility in candidate selection based on energy and aptitude.
Full Job Description
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%

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 You Will Be Doing
  • Collaborate on the design and development of the Persona ML software stack and support its application in manipulation, navigation, locomotion, and perception.
  • Work with the ML team to craft and execute on a comprehensive plan for the development of machine learning models, keeping up to date with the state of the art in research and development.
  • Work with the team to 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.


What We Are 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.).
  • 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.
  • Thrive in fast paced and ambiguous environments.
  • Strong first principles thinker.


Bonus Skills:
  • 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.

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