Tactile AI Research Engineer, Special Projects (Robotics)

Apple Inc

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,700–$324,800 / yr
Posted
84 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $255k
$145k $344k
below market most similar roles pay here above market

This role pays more than 83% of similar roles. Most pay $177,300–$247,071 — the blue band above. At the midpoint, this role pays about $255k versus about $212k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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TL;DR · Tactile AI Research Engineer, Special Projects (Robotics)

The Tactile AI Research Engineer - Special Projects (Robotics) joins a research team focused on developing intelligent robotic systems. The role involves implementing and training state-of-the-art machine learning models for tactile-enabled robotics, optimizing these models for physical systems to bridge sim-to-real gaps, and curating training data from simulations and real-world demonstrations. Key responsibilities include establishing evaluation metrics, documenting research findings, and collaborating across disciplines to solve complex contact physics problems. Candidates must demonstrate proficiency in Python, C++, PyTorch, and TensorFlow. The work requires expertise in machine learning algorithms, robot kinematics, dynamics, motion planning, and control. Experience with physics simulation software like Mujoco, IsaacLab, or Drake is preferred to support the development of advanced haptics and manipulation technologies.

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 to bridge sim-to-real gaps.
  • Curate and generate training data from simulations and real-world demonstrations of complex contact physics.
  • Establish evaluation metrics and testing protocols to benchmark policy performance.
  • Document research findings, methodologies, and technical developments for internal and external use.
  • Develop clean, well-tested, and optimized code in Python and C++ for multi-language systems.

What we're looking for

  • Bachelor’s, Master’s, or PhD degree in Engineering, Robotics, Computer Science, or a related field.
  • 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.
  • Functional understanding of tactile sensing and haptics technologies (preferred).
  • Strong foundation in robot kinematics, dynamics, motion planning, and control (preferred).

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