Robotics Machine Learning Developer Jobs

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1d ago

Robotics Machine Learning Engineer

Persona AI Inc Houston, TX

Houston, TX

1d ago

Full time Artificial Intelligence Cloud Platform Cloud Platforms

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Job Description

Work onsite in Houston, TX at Persona AI Inc, partnering with the Machine Learning team to advance humanoid robotics for heavy industry. In this full-time role, you will help build and operationalize ML that supports manipulation, navigation, locomotion, and perception, reporting to the Head of Machine Learning.

What Persona AI Inc offers

Competitive compensation
Performance-based bonus
99% employer covered medical benefits
Early-stage equity
Competitive PTO
Company-wide paid winter break from December 24th to January 2nd

Responsibilities

Collaborate on the design and development of the Persona ML software stack and support its application across manipulation, navigation, locomotion, and perception.
Work with the ML team to craft and execute a comprehensive plan for machine learning model development, staying current with state of the art research and R&D.
Develop, test, and deploy software, machine learning pipelines, and data collection pipelines.
Monitor and evaluate model performance in real-world settings.
Collaborate with Universities and other companies.
Contribute to attracting, nurturing, and growing the machine learning and autonomy teams.

Requirements

3+ years of experience in machine learning applied to robotics.
Courage and grit to tackle some of the hardest problems in embodied AI.
Enthusiasm for collaborative work in a high-paced team environment.
Experience with deep learning frameworks including PyTorch, JAX, TensorFlow (or equivalent).
Experience with cloud computing for developing models and storing data (including AWS, Azure, GCP).
Strong understanding of state of the art robot learning research, including behavior cloning for manipulation, reinforcement learning for locomotion, and world models.
Understanding of the challenges of deploying neural network models in the real world.
Experience deploying both traditional and learning-based approaches for robotics.
Ability to write high-quality software.
Ability to thrive in fast paced and ambiguous environments.
Strong first principles thinking.

Bonus skills

Advanced degree (Masters or PhD) in computer science, robotics, machine learning, or a related field.
Published papers at top ML/Robotics conferences: ICML, ICRA, CoRL, RSS, NeurIPS.
Experience deploying robots, collecting large amounts of data, and training large neural networks that work in production environments.

Tech stack

PyTorch, JAX, TensorFlow, AWS, Azure, GCP

Department: Machine Learning
Reports to: Head of Machine Learning
Travel: 10%

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