Senior Machine Learning Engineer - Computer Vision

Apple, Inc.; Sunnyvale (CA); In loco; USD 185.000 - 325.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical & Dental

Retirement Benefits

Product discounts

Education reimbursement

Bonus potential

Relocation assistance

Descrizione del lavoro

Apple, Inc. in Sunnyvale, California is seeking a Senior Machine Learning Engineer to design and implement advanced systems for spatial computing and AI.

The ideal candidate translates cutting-edge research into production‑ready solutions, collaborating with CVML researchers to ship world‑class algorithms powering on‑device experiences. The role spans end‑to‑end work, from creating a unified context representation to a scalable device‑agnostic framework, ensuring efficient on‑device inference

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python

Machine Learning

Software Engineering

Formazione

B.S. degree

MS or PhD

Strumenti

C++

Swift

Descrizione del lavoro

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.

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
• discretionary bonuses or commission payments
• 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.