Apple

Sr Staff Machine Learning Engineer, ML Platform

Apple$150K — $200K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software engineering with a focus on ML systems
  • Deep understanding of ML lifecycle: training, evaluation, and deployment
  • Expertise in deep learning architectures including Transformers and LLMs
  • Experience applying ML at scale in advertising or similar domains
  • Knowledge of distributed training optimization techniques
  • Ability to create and maintain ML tooling and infrastructure at scale
  • Strong communication skills to bridge technical and non-technical teams

Responsibilities

  • Design and build model training and fine-tuning infrastructure for scaling ML applications
  • Collaborate with ML engineers and scientists to enhance platform capabilities
  • Lead the development of ML solutions that uphold privacy commitments
  • Engage in continuous experimentation to improve advertising features
  • Refine architectures to solve complex ad network challenges
  • Contribute to a culture of reliability, simplicity, and scalability
  • Foster teamwork and support growth within the engineering group

Benefits

  • Working in a team-oriented environment with world-class machine learning engineers
  • Opportunity to work on cutting-edge technologies in a large-scale setting
  • Focus on innovative ML applications that prioritize privacy
  • Engagement in a culture that emphasizes continuous improvement and learning
  • Collaboration with diverse teams across Apple
Full Job Description
The Machine Learning Platform team\'s mission is to empower teams at Apple Ads to easily and rapidly develop, deploy and operate innovative ML applications at scale by providing a self-serve, unified platform with foundational infrastructure in model training, inference and agentic AI, as well as associated data and application services. \n\nAre you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with other ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Apple Ads teams to improve and scale our ML features, models, and applications.

The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Apple Ads teams. As a key contributor to this team, you will design and develop model training and fine-tuning infrastructure at scale. You will enjoy building high-performing, elegant machine learning systems from the ground up, in close partnerships with various teams, both within and outside Apple Ads. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. 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.\n\nJoin 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!\n

Experience building shared ML platforms, frameworks or services used by multiple teams or organizations.\nDeep understanding of the ML lifecycle, including training pipelines, evaluation methodologies, and deployment patterns.\nDeep understanding of deep learning architectures (Transformers, LLMs, DNNs) and training frameworks (TensorFlow, PyTorch)\nPrior experience applying ML at scale in Ads, recommender systems, information retrieval or related domains.\nPrior experience in distributed training at scale and optimization techniques like model pruning, compression, quantization & distillation.\nPrior experience building AI/ML tooling for model fine-tuning and training, and/or infrastructure at scale \nAbility to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams\nResults oriented with strong technical leadership skills and a desire to work in a fast-paced collaborative work environment\nCurious business attitude with a proven ability to seek projects with a sense of ownership.

Prior experience in privacy-preserving ML using techniques such as federated learning and differential privacy\nExperience with LLM training and inference - pre-training, SFT, verifiable RL rewards, inference-Familiarity with Agentic AI\nPhD/MS/BS in Computer Science or related field with 10+ years of industry experience in building ML systems

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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