HomeKit Machine Learning Engineer

Summary

The HomeKit team provides the foundation which enables an entire ecosystem of secure and intelligent connected home devices. Our mission is to create a scalable, distributed system that will transform how people interact with their home accessories. We are looking for a dedicated and passionate engineer to help advance our Home platform intelligence and elevate it to new heights. As a Machine Learning Engineer you will have an opportunity to be part of Smart Home focused ML innovation within Apple, initially focused on Applied ML for Computer Vision. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafting creative approaches to datasets, model training, and on-device inference optimizations. 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.

Description

As a member of this team, you will use your background to:
- Develop features and models to improve the capabilities of systems that use machine learning
- Scale up model training, build data pipelines, and tuning to improve system performance
- Review and implement pioneering machine learning algorithms
- Build software that improves rate of experimentation

Minimum Qualifications

Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field.
A strong curiosity, willingness to dive deep into unfamiliar problems, and an eagerness to learn and grow in a fast-evolving field.
Proficient in Python and deep learning frameworks like PyTorch, as well as familiarity with a language like Swift, C, C++ or Objective C.

Preferred Qualifications

Experience with training ML models including deep learning based models and model optimization.
Able to define metrics, evaluate ML models, and perform error analysis.
Familiar with recent advances in deep learning.

Pay & Benefits — San Francisco Bay Area, California, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $129,300 and $194,700, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.