Robotics Machine Learning

Robotics Machine Learning Engineer Jobs

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Today

Robotics AI Engineer

Apple Cupertino, CA

Cupertino, CA

Today

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

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Job Description

Apple is hiring a Robotics AI Engineer in Cupertino, CA (onsite) to turn natural user intent into adaptive, real-time behaviors.

Responsibilities

Apply frontier reasoning models to convert user intent into robust closed-loop plans that clarify, adapt, and replan as context changes
Design agent harnesses that ground model reasoning in the user’s context and a structured set of system capabilities
Use multimodal models to interpret intent from audio, text, and vision inputs
Evaluate models by mapping product requirements to appropriate metrics, then use results to identify failures and drive 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: 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 foundation in and deep understanding of modern machine learning methods
Experience training or fine-tuning your own transformer and/or diffusion models
Proficiency using coding agents: Claude Code and Codex
Genuine excitement for experimenting with the latest AI models, tools, and multimodal capabilities

Preferred qualifications

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)

Technologies

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

Education

BS or MS in Computer Science or Machine Learning

Pay & Benefits

Base pay range: $184,700 - $324,800 per year
Apple base pay is determined within a range based on skills, qualifications, experience, and location
Potential for discretionary bonuses or commission, as well as relocation (eligibility may apply)
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary restricted stock unit awards (eligibility may apply)
Opportunity to become an Apple shareholder through discretionary employee stock programs
Option to purchase Apple stock at a discount via the Employee Stock Purchase Plan (voluntary participation)
Note: Benefits, compensation, and employee stock programs are subject to eligibility requirements and plan terms

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Today

Robotics Machine Learning Engineer

Persona AI Inc Houston, TX

Houston, TX

Today

Full time Artificial Intelligence Cloud Platform Cloud Platforms

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Job Description

The Robotics Machine Learning Engineer at Persona AI Inc will report to the Head of Machine Learning and help define and execute the machine learning strategy for humanoid robots operating in heavy industry. This onsite role focuses on building and maintaining ML software that supports manipulation, navigation, locomotion, and perception.

Role Overview

In this Full-Time position within the Machine Learning department, you will develop, test, deploy, and monitor machine learning models and pipelines. The work spans real-world performance evaluation and ongoing improvements to both model quality and operational reliability.

Key Responsibilities

Collaborate on the design and development of the Persona ML software stack and support its use across manipulation, navigation, locomotion, and perception.
Partner with the ML team to create and execute a comprehensive plan for building machine learning models, while 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 operating conditions.
Collaborate with universities and other companies.
Collaborate on initiatives to attract, nurture, and grow the machine learning and autonomy teams.

Required Qualifications

Demonstrated courage and grit for challenging problems in embodied AI.
Enthusiasm for working collaboratively in a high-paced environment.
3+ years of experience applying machine learning to robotics.
Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow, or similar.
Experience with cloud computing platforms for model development and data storage, including AWS, Azure, or GCP.
Strong understanding of current research in robot learning, including examples such as behavior cloning for manipulation, reinforcement learning for locomotion, and world models.
Understanding of real-world deployment challenges for neural network models.
Experience deploying both traditional and learning-based approaches for robotics.
Ability to write high-quality software.
Ability to thrive in fast-paced, ambiguous environments.
Strong first-principles thinking.

Preferred / Bonus Skills

Advanced degree (Master’s or PhD) in computer science, robotics, machine learning, or a related discipline.
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.

Technology Stack

PyTorch
JAX
TensorFlow
AWS
Azure
GCP

Location, Travel, and Reporting

Location: Pensacola, FL or Houston, TX (onsite); role listing specifies Houston, TX (onsite).
Travel: 10%
Reports to: Head of Machine Learning
Department: Machine Learning

Compensation and Benefits

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

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