Robotics Machine Learning

Robotics Machine Learning Data Jobs

3 jobs found

1d ago

AI Engineer, Whole Body Controls, Optimus

Tesla Palo Alto, CA

Palo Alto, CA

1d ago

$176k - $420k/yr Full time Ai Model Training Artificial Intelligence Data Pipeline

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Job Description

Build whole-body motion policy models for Optimus on Tesla’s Whole Body Controls team, spanning training from pre-training through reinforcement learning.

Responsibilities

Design and iterate on network architectures for whole-body motion policies, world models, and learned dynamics models
Build, tune, and scale training recipes including losses, curricula, optimization, and pre-training to reinforcement-learning pipelines
Create robust data pipelines and data engines to feed model training at scale
Develop evaluation benchmarks that support fast, iterative model improvement
Increase the robustness of learned policies and deploy them on Optimus

Requirements

Proficiency in Python (including numpy and PyTorch)
Deep learning fundamentals covering architectures, optimization, training dynamics, and representation learning
Proficiency with modern network architectures (for example, transformers and sequence models), including experience designing and adapting them
Experience training neural networks in PyTorch, including large-scale or distributed training
Experience building robust data pipelines and data engines for large-scale model training
Preferred: experience designing novel architectures or training recipes that shipped to production; exposure to world models, imitation learning, or reinforcement learning; any robotics, control, or multimodal-sensing exposure
Equivalent experience through projects, research, or coursework is acceptable

Technologies

Python
numpy
pytorch / PyTorch
transformers
sequence models

Location

Palo Alto, CA (onsite)

Compensation

Expected compensation: $176,000 - $420,000 per year
May include cash and stock awards and benefits
Pay offered may vary based on individualized factors; total compensation package may include other elements depending on the position offered

Benefits

Medical plans with options including $0 payroll deduction, and healthcare at day 1 of hire
Family-building, fertility, adoption, and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with options including a $0 paycheck contribution
Company paid HSA contribution when enrolled in the High-Deductible medical plan with HSA (Health Savings Accounts)
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match
Employee Stock Purchase Plans
Other financial benefits
Company paid Basic Life, AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, accrued hours for Hourly positions) and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Equal Opportunity & Accommodations

Tesla is an equal opportunity / affirmative action employer committed to diversity in the workplace
All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws
Tesla is committed to working with and providing reasonable accommodations to individuals with disabilities; let your recruiter know if you need an accommodation during the interview process

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12d ago

Robotics AI Engineer

Apple Cupertino, CA

Cupertino, CA

12d ago

$185k - $325k/yr Full time Python Agentic Ai Ai Automation

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Job Description

Apple is hiring a Robotics AI Engineer (onsite) to turn natural user intent into adaptive, real-time behaviors powered by on-device AI.

Responsibilities

Use frontier reasoning models to translate user intent into robust, closed-loop plans with adaptive clarification and re-planning as context changes
Develop agent harnesses that ground model reasoning in the user’s context and a structured set of system capabilities
Apply multimodal models to interpret user intent from audio, text, and vision
Evaluate models by converting product requirements into the right metrics to identify failures and guide improvements
Fine-tune and distill frontier models into smaller, efficient models for on-device deployment
Deploy and optimize models on Apple silicon for real-time, efficient, interactive performance
Rapidly prototype and assess new AI models, tools, and agent harnesses to advance product capabilities

Requirements

PhD in Computer Science, Machine Learning, or a related field
Experience with model fine-tuning and distillation for efficient on-device deployment
Hands-on experience with inference engines such as llama.cpp, vLLM, MLX, or Core ML
Experience building agent harnesses for multi-step, closed-loop reasoning
Track record of shipping products to users
Proficiency in Python and ML frameworks (PyTorch or TensorFlow)
BS or MS in Computer Science or Machine Learning
Strong background in and deep understanding of modern machine learning methods
Experience training or fine-tuning transformer and/or diffusion models
Proficiency using coding agents such as Claude Code and Codex
Genuine excitement for experimenting with the latest AI models, tools, and multimodal capabilities

Technologies

Python
PyTorch
TensorFlow
llama.cpp
vLLM
MLX
Core ML
Claude Code
Codex
Transformer
Diffusion models
Apple silicon

Education

BS or MS in Computer Science or Machine Learning

Pay

Base pay range: USD 184,700 - 324,800 per year
Base pay depends on skills, qualifications, experience, and location

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Discounted Apple stock purchase if voluntarily participating in the Employee Stock Purchase Plan
Potential discretionary bonuses or commission payments as well as relocation (eligibility may apply)
Learn more about Apple Benefits

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13d ago

Robotics Machine Learning Engineer

Persona AI Inc Houston, TX

Houston, TX

13d ago

Full time Artificial Intelligence Cloud Platform Cloud Platforms

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Job Description

Persona AI Inc is seeking a Robotics Machine Learning Engineer to report to the Head of Machine Learning. In this role, you will help advance the machine learning strategy behind humanoid robots designed for heavy industry, focusing on models and pipelines for manipulation, navigation, locomotion, and perception. This position is based onsite in Houston, TX.

Role Overview

You will contribute to the end-to-end lifecycle of machine learning systems, from development and testing to deployment and real-world monitoring. The work spans manipulation, navigation, locomotion, and perception, supported by the Persona ML software stack and related data collection efforts.

Responsibilities

Collaborate on the design and development of the Persona machine learning software stack and support its application across manipulation, navigation, locomotion, and perception.
Work with the machine learning team to create and execute a comprehensive plan for building machine learning models, staying current with state-of-the-art research and development.
Develop, test, and deploy software, machine learning pipelines, and data collection pipelines.
Monitor and evaluate model performance in real-world conditions.
Collaborate with universities and other companies.
Contribute to efforts to attract, nurture, and grow the machine learning and autonomy teams.

Requirements

Courage and grit to tackle difficult problems in embodied AI.
Enthusiasm for collaboration in a high-paced team environment.
3+ years of experience applying machine learning to robotics.
Experience with deep learning frameworks, including PyTorch, JAX, TensorFlow, or similar.
Experience with cloud computing for model development and data storage, including AWS, Azure, or GCP.
Strong understanding of the state of the art in robot learning, including behavior cloning for manipulation, reinforcement learning for locomotion, and world models.
Understanding of the challenges involved in deploying neural network models in real-world settings.
Experience deploying both traditional and learning-based approaches for robotics.
Ability to write high-quality software.
Capability to thrive in fast-paced and ambiguous environments.
Strong first-principles thinking.

Technologies

PyTorch
JAX
TensorFlow
AWS
Azure
GCP

Bonus Skills

An advanced degree (Master’s or PhD) in computer science, robotics, machine learning, or a related field.
Published papers at top ML and robotics conferences, including ICML, ICRA, CoRL, RSS, or NeurIPS.
Experience deploying robots, collecting large datasets, and training large neural networks that operate in production environments.

Compensation & Benefits

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

Additional Details

Department: Machine Learning
Reports to: Head of Machine Learning
Employment type: Full-Time
Location: Pensacola, FL or Houston, TX
Travel: 10%
Minimum experience: 3 years

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Robotics Machine Learning Data Jobs

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