Apple-posted 2 months ago
CA
5,001-10,000 employees

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. As an engineer in the Special Projects group, you will have an opportunity to be part of an innovation-focused organization within Apple that is exploring integrations between robotics and AI/ML. You will be able to work on highly ambitious, high-reward, and impactful projects in the early stages of development. This team has a strong focus on shipping simulations in service of AI/ML projects. We use both traditional and generative AI techniques in simulation. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations. Moreover, we value team members who can collaborate effectively with cross-functional teams across the organization.

  • Work with a team of highly skilled engineers and scientists to bring new experiences to Apple products.
  • Explore integrations between robotics and AI/ML.
  • Ship simulations in service of AI/ML projects.
  • Prototype and iterate on ideas to achieve high-quality implementations.
  • Collaborate effectively with cross-functional teams across the organization.
  • MS/PhD in Computer Science, Math, Robotics or related field.
  • Strong software engineering background.
  • Ability to break down large features and implement practical solutions.
  • Curiosity about new technologies, flexibility, and openness to ambiguity.
  • Proficiency with modern ML approaches (LLMs, Diffusion Models, etc.) as well as traditional ML methods (Linear Regression, Decision Trees, etc.).
  • Strong proficiency with classical robotic algorithms (optimization, graph search, etc.).
  • Strong applied math background (e.g., graphics, vision, optimization, controls, or planning).
  • Familiarity with the full robotics stack (controls, perception, motion planning, etc.).
  • Familiarity with Swift and Apple developer tools.
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