Machine Learning Software Engineer for Location and Spatial Awareness , Sensing & Connectivity

In this role, you will architect and implement production software systems for new ML technologies, fusing them with existing location and spatial capabilities to bring new experiences to our users. You will collaborate with developers on other iOS teams to architect full-stack iOS solutions. By designing and implementing technologies that integrate machine learning with wireless and spatial sensors, you will help solve real-world problems and participate in brainstorming the future of iOS.

","responsibilities":"We are looking for a highly motivated Machine Learning and Computer Vision Engineer to develop state-of-the-art perception algorithms. In this role, you will tackle complex challenges in egocentric vision, action recognition, and sensor-based perception. You will be responsible for designing highly efficient ML training pipelines, fine-tuning vision transformers, and utilizing active learning techniques to maximize model performance while minimizing data annotation costs. If you are passionate about pushing the boundaries of spatial computing and efficient ML, we want you on our team.

Preferred Qualifications

Takes initiative to address new problems and responsibility for the results

Excellent collaboration skills and a proven ability to publish in top-tier ML/CV conferences or journals

Interested in creating new technologies and user experiences.

Passion for actively learning new skills, techniques, and programming languages/libraries/frameworks.

Thrives in a collaborative environment and communicates effectively.

Creative and inquisitive, seeking to solve everyday problems in innovative ways.

Laser-focused on the smallest details that are meaningful to our customers.

Desire to be exposed to all aspects of development: prototyping, planning, designing, productizing, launching, and scaling.

Minimum Qualifications

Ph.D. (or M.S. with equivalent applied research experience) in Computer Engineering, Computer Science, Electrical Engineering, or a related field.

Deep expertise in Machine Learning and Computer Vision, with a strong focus on Vision Transformers (ViTs), CNNs, and Foundation Models.

Proven track record of developing and optimizing efficient ML training pipelines, specifically utilizing Active Learning, domain adaptation, or semi-supervised learning to reduce data annotation bottlenecks.

Hands-on experience with egocentric video understanding, action recognition, or scene classification.

Strong programming skills in Python and C/C++, with deep proficiency in modern deep learning frameworks (PyTorch, TensorFlow).

Experience working with novel or multi-modal sensor data (e.g., polarization, depth, IR) and synthetic/semi-synthetic data generation.

Ability to optimize data-loading and training infrastructure to maximize GPU efficiency.

Familiarity with 3D computer vision and spatial/robotic perception.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Pay & Benefits

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 $147,400 and $272,100, 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.

Client-provided location(s): Cupertino, CA

Job ID: apple-200656105-0836_rxr-663

Employment Type: OTHER

Posted: 2026-04-11T19:43:43