Senior Machine Learning Software Engineer - Computer Vision

Apple Inc.; Sunnyvale (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Discounted products and services

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Sunnyvale, CA is seeking a Senior Machine Learning Software Engineer specialized in computer vision to design and implement advanced ML systems for spatial computing and AI.

You will work on on-device models, context representations, and real-time processing to deliver delightful user experiences. You will collaborate with CV/ML researchers to ship world-class algorithms, optimize for efficiency, and push the boundaries of spatial computing across devices.

Qualifications

• B.S. and 7+ years of software/vision/ML experience.
• Strong Python experience.
• Foundational ML concept understanding and production integration.

Responsibilities

• Develop quick proofs-of-concept with new hardware.
• Optimize ML algorithms for mobile devices.
• Build and optimize ML pipelines for production.
• Develop cutting-edge AI systems and advance state of the art.
• Collaborate with cross-functional teams on algorithmic constraints.
• Prepare presentations, papers, and talks to explain innovations.
• Advise on feature definitions and development directions.

Skills

Python

ML pipelines

C++

Swift

Machine learning

Education

Bachelor's degree in CS or related

Master's degree or PhD in ML or 5+ years experience

Job description

Senior Machine Learning Software Engineer - Computer Vision

Sunnyvale, California, United States Machine Learning and AI

Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful.

Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection.

Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily.

Are you prepared to make a lasting impact on the future of technology?

Description

We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.

In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models.

Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.

Responsibilities

• Working with ML and system engineers and designers to develop quick proof-of-concepts with novel hardware for innovative applications.
• Implementing and optimizing algorithms to run efficiently on mobile devices.
• Building and optimizing efficient machine learning pipelines.
• Developing cutting-edge AI systems that push the boundaries of what is possible.
• Collaborating cross-functionally to understand algorithmic constraints and dependencies.
• Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions.
• Advising on feature definitions/promising development directions in cross-functional groups.

Minimum Qualifications

• B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
• Strong experience in Python.
• Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.

Preferred Qualifications

• M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
• Working experience in C++ or Swift.
• Excellent math skills, including linear algebra, computational science and optimization.
• Creativity and curiosity for solving highly complex problems.
• Excellent communication and collaboration skills.
• An interest in incubating ideas and taking them to finish.
• Experience with iOS/macOS development.
• Experience shipping algorithms or publishing in top tier CVML conferences.

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 $184,700 and $324,800, 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.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.