Job description

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: 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

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learning

Platform: apple
Effort: medium