AIML-Senior Software Engineer-Simulation

Summary
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 AIML Special Projects group, you will have an opportunity to be part of an innovation-focused organization within Apple. You will be able to work on highly ambitious, high-reward, and impactful projects in the early stages of development. Some examples of projects that you would work on include, but are not limited to, audio/speech features and simulation pipeline and tooling. This team has a strong focus on shipping AIML-based features and products. 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.



Description
As a member of this team, you will use your background to (but not be limited to):
-Build pipelines, Machine Learning infra, and tooling focused on simulation and evaluation.
-Build full-stack, user-facing applications to help accelerate robotics project testing and validation.
-Implement innovative approaches to audio and voice/speech features.
-Build integration with various models to scale up and improve capabilities of systems that employ Machine Learning.
-Review and prototype algorithms, participate in periodic robotics and AIML research paper discussions and literature reviews.

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