Apple AR/VR Job | Machine Learning Engineer - Apple Vision Pro
Job（岗位）: Machine Learning Engineer - Apple Vision Pro
Citys（岗位城市）: Santa Clara Valley (Cupertino), California, United States
Date（发布日期）: 2023-12-20
Summary（岗位介绍）
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.
Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with your physical space. It will allow us to do the things we love in ways never before possible — all while staying connected to the people around us.
Our team builds technology that defines industry standards, and we are seeking people who thrive to innovate and strive to build best-in-class high-impact products. We value passion for excellence and a deep commitment to excellence, and if you want to impact millions of customers by working on the most advanced technology solutions, we want to talk to you.
Qualifications（岗位要求）
Strong programming skills in Python and/or C++ with 5+ years of demonstrated ability in using these languages for machine learning (machine learning) modeling and applied research
Hands-on experience with building deep learning applications
Expertise in using machine learning toolkits such as PyTorch, TensorFlow, etc
Experience developing and optimizing algorithms that run efficiently on resource constrained platforms
Ability to drive early-stage research projects with risks and ambiguity
Passionate about delivering high-quality products, seeking to solve everyday problems in innovative ways
Excellent programming, problem solving and analytical skills
Communication and collaboration skills in a multi-functional setting
Ability to work hands-on with multi-functional teams
Ability to work under tight schedules and deliver under pressure
Ability to thrive in a collaborative environment and communicate clearly and confidently with partner teams
Description（岗位职责）
The Vision Products Group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build Apple’s future technologies in the spatial computing space. The successful candidate will demonstrate deep knowledge of, and hands-on experience, with designing, implementing, and optimizing machine learning algorithms to tackle ambitious problems. Candidate is expected to be proficient in machine learning and deep learning and be comfortable in applying their machine learning background and problem-solving skills to develop high-quality machine learning solutions that contribute to Apple's revolutionary roadmap.
As an Machine Learning Engineer in the Vision Products Group at Apple, you will partner with the algorithm designers to collaboratively design machine learning based solutions to solve high-impact problems on Apple product(s).
The primary responsibilities associated with this role, include algorithm design, implementation and optimization, integrating ground breaking research into production frameworks, and collaborating closely with product teams before and after feature launch.
- You will work multi-functionally with multiple teams at Apple, drive requirements and deliver the end solution
- You will help evaluate various candidate approaches for optimizing machine learning pipelines for training and inference - these could include (but are not limited to) algorithm tuning, hyper parameter tuning, hardware and software co-design.
- You will write clean, maintainable and production code with appropriate documentation and tests.
- You will debug quality related issues in machine learning pipelines.
- You will contribute to architecture decisions, design reviews and peer code reviews.
- You will be a force-multiplier, by enabling team-members to be more productive
