Apple

Sr Machine Learning Engineer - ML Platform

Apple$160K — $190K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in engineering and machine learning, or advanced degrees coupled with relevant years of experience
  • Proficient in writing critical code for production machine learning systems
  • Experienced in building ML infrastructure and services for team-wide applications
  • Skilled in developing SDKs, APIs, and automation interfaces
  • Expertise in automation and CI/CD practices
  • Deep understanding of the machine learning lifecycle and practical deployment of models
  • Familiar with modern deep learning frameworks like PyTorch or TensorFlow
  • Solid background in solving issues related to model performance and data integrity

Responsibilities

  • Design and develop secure, scalable back-end systems for machine learning applications
  • Collaborate closely with various teams to foster effective communication and support
  • Select appropriate technologies to address complex advertising challenges
  • Build automation processes to enhance machine learning workflows
  • Contribute to the creation of machine learning products that align with privacy commitments
  • Foster a team culture centered around reliability, simplicity, and scalability
  • Support the growth and development of team members through collaboration

Benefits

  • Opportunity to work with a world-class machine learning team
  • Engagement in projects that influence the future of advertising technology
  • Focus on personal and professional growth within a supportive team environment
  • Access to cutting-edge technologies in the machine learning space
  • Contribution to privacy-preserving AI initiatives contributing to ethical standards in tech
Full Job Description
Description

The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ads teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solutions for the unique ad network challenges we face. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data.

Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other's growth and supporting each other in delivering for our customers!

Minimum Qualifications

Experience writing mission-critical code for production machine learning systems

Experience building ML infrastructure, frameworks or services used by multiple teams

Experience building SDKs, API, and automation UIs used by development teams

Proven experience building automation and CI/CD

Passionate about improving the developer experience for AI/ML practitioners

Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models

Solid understanding of model evaluation, train-serve skew and data drift

Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow

Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains

Strong problem solving, debugging and performance tuning skills

Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams

Product-minded with a proven ability to seek projects with a sense of ownership

Preferred Qualifications

Experience in advertising industry

Experience with distributed training and/or optimizing large-scale models for low-latency serving

Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning.

Experience building and/or operationalizing foundation models

Experience with agentic AI

Prior experience in privacy-preserving ML

Education & Experience

PhD in Computer Science or related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS in Computer Science or related field with 6+ years of engineering experience and 5+ years of machine learning experience; or BS in Computer Science or related field with 7+ years of engineering experience and 5+ years of machine learning experience

About Apple

Apple is a corporation that designs, manufactures, and markets mobile communication and media devices, personal computers, portable digital music players, and sells a variety of related software, services, peripherals, networking solutions, and third-party digital content and applications. Apple provides many products and services, including iPhone; iPad; iPod; Mac; Apple TV; a portfolio of consumer and professional software applications; the iOS and OS X operating systems; iCloud; and accessories, service, and support offerings. It sells its products worldwide through its retail stores, online stores, direct sales force and third-party cellular network carriers, wholesalers, retailers, and value-added resellers to the consumer and also sells third-party iPhone, iPad, Mac and iPod compatible products, including application software and accessories through its online and retail stores. Introduced in 1984, the Macintosh was the first widely sold personal computer with a graphical user interface (GUI). That feature and others such as an improved floppy drive design and a low-cost hard drive that made data retrieval faster helped Apple cultivate a reputation for innovation. Apple was named as the most admired company in the United States in 2008 and in the world from 2008 to 2012 by the Fortune magazine. The company was founded by Steven Paul Jobs, Steve Wozniak, and Ronald Gerald Wayne on April 1, 1976, and is headquartered in Cupertino, California.

Apple Careers

Join Apple, a place where extraordinary people gather to do their best work. Our ever-expanding global team is at the forefront of innovation and leadership in the tech industry. At Apple, we're not just building products—we're crafting the kind of wonder that revolutionizes entire industries. It's the diversity of our people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Work You’ll Do Embark on a journey with Apple’s market-leading team to help some of the world’s most influential companies navigate their path to digital mastery with cutting-edge technology and services. Transform industries and touch lives with your unique ideas at Apple. Here, you’ll lead through a unique position at the intersection of technology, creativity, and robust industry expertise. Collaborate with a global team of professionals who are at the top of their game in technology and design. Apple isn’t just a company, it’s a community of innovators and passionate thinkers. Introducing the Apple Innovation and Leadership Initiative We are building a market-leading team to drive our efforts in delivering groundbreaking solutions and services. At Apple, job opportunities are abundant, offering you the chance to explore diverse roles from engineering to marketing, all designed to empower your career growth. Do Innovative Work Join the largest group of creative and technical experts in the world—professionals dedicated to redefining what’s possible through technology and innovation. Deliver targeted solutions through a depth and breadth of expertise that’s unmatched, driving forward our commitment to excellence and leadership in every project we undertake. Be Part of a Great Team Engage in a wide range of projects utilizing Apple’s technology and resources. Harness the unparalleled capabilities, global scale, and joint solution development that only Apple can offer. Future-Proof Your Career Advance your career with limitless opportunities at Apple. Go as far as your ambition takes you with unmatched training, development, and certification support. Explore Discover how Apple is leading the way in tech innovation: [With iOS] Businesses can streamline operations and enhance customer interactions... READ MORE Smart home technology integration that sets the standard for convenience and security... READ MORE The Apple Experience Our combined service capabilities, global scale, and joint solution development help clients overcome challenges and lead transformation in their industries. Clients worldwide look to Apple for new strategies and solutions that drive growth and innovation in the digital era. Stay Connected Join Our Team Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. Whether you’re seeking a professional role, an internship, or a leadership position, Apple offers a variety of employment opportunities. SEARCH APPLE JOBS Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. READ CAREERS BLOG Job Alert Emails Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. See what exciting and rewarding opportunities await at Apple, a company committed to diversity, innovation, and leadership. Explore job opportunities, employment benefits, and the culture of growth and innovation at Apple. Prepare your resume, hone your interview skills, and ready yourself for a career at one of the most prestigious companies in the world. Join us in pushing the boundaries of what is possible.
Learn more about Apple
Size
154,000 employees
Market Cap
$2,074.3 billion
Industry
Net Income
$63.9 billion
Founded
1976
5 Year Trend
+11.5%
Revenue
$294.1 billion
NASDAQ

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