AR/VR Machine Learning Engineer
Apple Inc
Santa Clara Valley (Cupertino), CA
Job posting number: #7150477 (Ref:apl-200481087)
Posted: May 23, 2023
Application Deadline: Open Until Filled
Job Description
Summary
The Technology Development Group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build Apple’s future technologies in the Augmented Reality (AR) and Virtual Reality (VR) 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 ML background and problem-solving skills to develop high-quality ML solutions that contribute to Apple's revolutionary AR/VR roadmap.
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.
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.
Key Qualifications
- Strong programming skills in Python and/or C++ with 5+ years of demonstrated ability in using these languages for machine learning (ML) modeling and applied research
- Hands-on experience with building Deep Learning applications
- Expertise in using ML 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
As an ML Engineer in the Technology Development Group at Apple, you will partner with the algorithm designers to collaboratively design ML-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 ML pipelines for training and inference - these could include (but are not limited to) algorithm tuning, hyper parameter tuning, HW/SW codesign.
- You will write clean, maintainable and production code with appropriate documentation and tests.
- You will debug quality related issues in ML 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
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 ML pipelines for training and inference - these could include (but are not limited to) algorithm tuning, hyper parameter tuning, HW/SW codesign.
- You will write clean, maintainable and production code with appropriate documentation and tests.
- You will debug quality related issues in ML 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
Education & Experience
• M.S or Ph.D. in deep learning/computer vision/natural language processing/machine learning/computer science with 5+ years of equivalent industry experience (or in exceptional cases, BS with proven track record of relevant industry experience).
• Bonus: Strong publication record at top conferences
• Bonus: Strong publication record at top conferences