Senior ML Engineer, Robotics - Special Projects
Apple
Listing collected from Apple's career site. NextChapter is independent of Apple.
Santa Clara, CA · Posted October 20, 2026
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Where Santa Clara, CA ranks
Where Santa Clara, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for sales pay after cost of living$175k · of 45
- #1Best cities for product pay after cost of living$224k · of 14
- #2Best cities for operations pay after cost of living$173k · of 41
- #2Best cities for marketing pay after cost of living$192k · of 16
- #2Best all-round cities for remote workers in the West Coast85 / 100 · of 39
- #3Best cities for finance pay after cost of living$156k · of 35
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Apple has filed 4 layoff notices in the last twelve months, covering 225 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
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About the job
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
At Apple, we strive to make great products that empower people and improve their lives. We believe recent breakthroughs in AI/ML and robotics have the potential to unlock new experiences that were never possible before, and are looking for talented ML engineers to realize that mission by expanding the capabilities of Apple products and platforms.
As a member of the team, you’ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple products. This position requires a self-motivated ML engineer with strong technical and interpersonal skills to handle responsibilities including:
Designing and implementing AI/ML robotic systems to solve real-world problems Evaluating and debugging complex AI systems Integrating intricate AI systems into a larger software stack
MS/PhD in Computer Science, Math, Machine Learning, Robotics, or related fields. 3+ years of relevant industry experience Strong software engineering background Ability to break down large features and implement practical solutions Experience in building complete prototypes that continuously improving the system performance Familiarity with the full robotics stack (controls, perception, planning, agentic system etc.) Familiarity with modern ML approaches (VLMs, LLMs, Diffusions, RL, etc.) Proficiency using deep learning frameworks such as PyTorch and TensorFlow Experience in working on robotic algorithms for manipulation and/or navigation.
Experience in training/fine tuning multimodal foundational models Experience in building RL models and solving sim2real for robotics applications Experience in simulation frameworks (Isaac, Drake, Mujoco etc.) Experience in multi-view geometry, camera calibration and 3D reconstruction pipelines Experience optimizing ML models or mathematical algorithms for mobile deployment and resource-constrained environments