Cupertino, California, United States Machine Learning and AI Add to Favorites Machine Learning Engineer, Maps Removed from favorites Description Are you passionate about building intelligent systems that seamlessly integrate various data modalities? As a Machine Learning Engineer on our Arrival Experience team, you will:- Build and deploy ML models that integrate imagery, spatial context, and user behavior to enhance arrival accuracy- Design and implement generative AI-based multi-agent systems that evaluate and improve arrival experiences- Work closely with product and engineering teams to bring model intelligence into user-facing features- Evaluate models using both automated metrics and real-world feedback, continuously iterating for quality- Stay informed on advances in computer vision, generative AI, and applied machine learning to explore new approaches and keep the system adaptive and future-ready Minimum Qualifications MS or PhD in Computer Science, Machine Learning, or a related field. 2+ years of hands-on experience in machine learning, particularly in computer vision or multimodal model development Experience building and deploying transformer-based architectures, including Vision Transformers (ViT), or multimodal vision-language models such as CLIP Familiarity with multi-agent system design and orchestration frameworks, including the use of Model Context Protocol (MCP), A2A (agent-to-agent) communication systems, or LangGraph for generative agent workflows Proficiency in Python with deep expertise in PyTorch for model development and deployment Experience working with large-scale datasets and building scalable training or inference pipelines A self-starter with a go-getter attitude, able to work around data limitations or organizational constraints and continue making progress Excellent problem-solving skills with the ability to approach ambiguous problems creatively Strong collaboration and communication skills with a track record of working effectively across teams Commitment to fostering an open, inclusive, and team-oriented work environment Preferred Qualifications Demonstrated success applying generative AI to production systems beyond prompt engineering Familiarity with extracting and refining polygonal features from imagery, including post-processing techniques such as the Marching Squares algorithm or similar contour extraction methods Experience working with geospatial data formats such as GeoTIFF, raster maps, shapefiles, or GeoJSON 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 $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Please read the following job description thoroughly to ensure you are the right fit for this role before applying.

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. 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 . Add to Favorites Machine Learning Engineer, Maps Removed from favorites

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