Apple

Apple

Posted via Apple Careers

Tactile AI Research Engineer - Special Projects (Robotics)

Always Hiring

Posted Aug 4, 2026

Role at a glance

Salary
$184.7K – $324.8K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
6+ years of relevant experience in robotics and machine learning.
Education
Bachelor’s, Master’s, or PhD degree in Engineering, Robotics, Computer Science, or a related field.

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Role Summary

AI-generated

This role develops intelligent robotic systems using machine learning, tactile sensing, simulation, and physical hardware. The research scientists and engineers collaborate across disciplines to advance robotic perception, control, and intelligence and document findings for internal and external knowledge sharing.

What You'll Do

  • Implement and train state-of-the-art machine learning models for tactile-enabled robotic systems.
  • Optimize and deploy machine learning models on physical systems, ensuring policing durability across sim-to-real-gaps.
  • Curate and generate training data from simulation and real-world demonstrations ensuring adequate coverage of complex contact physics.
  • Establish evaluation metrics and testing protocols to benchmark policy performance.
  • Collaborate across disciplines leverage expertise and advance impact across multiple stakeholders.
  • Document research findings, methodologies, and technical developments for internal knowledge sharing and external publications.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

3+ years of relevant experience successfully deploying tactile-based policies in robotics; 6+ years of relevant experience in robotics and machine learning; strong proficiency in Python and C++; expertise in machine learning algorithms and deep learning frameworks such as PyTorch and TensorFlow; strong software engineering, analytical, troubleshooting, and problem-solving skills; ability to work effectively in multidisciplinary teams.

Required

  • 3+ years of relevant experience successfully deploying tactile-based policies in robotics
  • 6+ years of relevant experience in robotics and machine learning
  • Strong proficiency in Python and C++ with experience in complex, multi-language systems
  • Expertise in machine learning algorithms and deep learning frameworks such as PyTorch and TensorFlow
  • Strong software engineering skills, delivering clean, well-tested, and optimized code
  • Strong analytical, troubleshooting, and problem-solving skills
  • Ability to work effectively in multidisciplinary teams
  • Bachelor’s, Master’s, or PhD degree in Engineering, Robotics, Computer Science, or a related field

Preferred

  • Functional understanding of tactile sensing and haptics technologies to solve challenges in interaction and manipulation
  • Strong foundation in robot kinematics, dynamics, motion planning, and control
  • Experience with a wide range of physics simulation software and their contact mechanics (e.g. Mujoco, IssacLab simulator, Drake, etc.)
  • Successful record of employing machine learning techniques to achieve useful system performance

Original job description

Content provided by the employer

Summary

We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

Description

We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, haptics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:

Passion for the mission: We’re here to make something extraordinary. We seek whatever work is right and strive for the best possible results.
Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.
Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.

Responsibilities

Implement and train state-of-the-art machine learning models for tactile-enabled robotic systems.
Optimize and deploy machine learning models on physical systems, ensuring policing durability across sim-to-real-gaps.
Curate and generate training data from simulation and real-world demonstrations ensuring adequate coverage of complex contact physics.
Establish evaluation metrics and testing protocols to benchmark policy performance.
Collaborate across disciplines leverage expertise and advance impact across multiple stakeholders.
Document research findings, methodologies, and technical developments for internal knowledge sharing and external publications.

Minimum Qualifications

3+ years of relevant experience successfully deploying tactile-based policies in robotics.
6+ years of relevant experience in robotics and machine learning.
Strong proficiency in Python and C++ with experience in complex, multi-language systems.
Expertise in machine learning algorithms and deep learning frameworks such as PyTorch and TensorFlow.
Strong software engineering skills, delivering clean, well-tested, and optimized code.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to work effectively in multidisciplinary teams.
Bachelor’s, Master’s, or PhD degree in Engineering, Robotics, Computer Science, or a related field.

Preferred Qualifications

Functional understanding of tactile sensing and haptics technologies to solve challenges in interaction and manipulation.
Strong foundation in robot kinematics, dynamics, motion planning, and control.
Experience with a wide range of physics simulation software and their contact mechanics (e.g. Mujoco, IssacLab simulator, Drake, etc.).
Successful record of employing machine learning techniques to achieve useful system performance.

Pay & Benefits — Santa Clara, California, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.