Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms

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Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms

San Francisco Bay Area, California, United StatesMachine Learning and AI

San Francisco Bay Area, California, United StatesSeattle, Washington, United StatesWork Locations (2)

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We are Foundation Model Inference Team, within AI, Search & Knowledge Platform Technologies organization. Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make difference in life of people by empowering them with AI. You will have a chance to work on optimizing billions of parameter langauge and vision and speech models using state of the art technologies and make it run at scale of Apple.

Work along side Foundation Model Research team to optimize inference for cutting edge model architectures. Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time. Build tools to understand bottlenecks in Inference for different hardwares and use cases. Mentor and guide engineers in the organization.

• Collaborate with the Foundation Model Research team to optimize inference for cutting edge model architectures

• Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time

• Build profiling tools, simulators to understand the bottlenecks

• Mentor and guide engineers in the organization

• 5+ years of experience leading and driving complex, ambiguous projects.

• Experience with LLM inference stack

• Familiarity with GPU programming concepts using CUDA.

• Familiarity with one of the popular ML Frameworks like Pytorch, Tensorflow.

• Have experience with high throughput services particularly at supercomputing scale.

• Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.

• Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.

• BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field

• Proficient in building and maintaining systems written in modern languages (eg: Golang, Python)

• Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.

• Familiarity with Nvidia TensorRT-LLM, vLLM, DeepSpeed, Nvidia Triton Server etc.

• Experience writing custom CUDA kernels using CUDA or OpenAI Triton.

• MS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field.

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.

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