Apple

Apple

Posted via Apple Careers

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

Always Hiring

Posted Aug 4, 2026

Role at a glance

Salary
$175K – $308.5K/yr
Location
Santa Clara, California, United States Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of experience leading and driving complex, ambiguous projects.
Education
BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field

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Role Summary

AI-generated

The Foundation Model Inference Team builds inference frameworks, services, and tools that power Apple foundation models and Apple Intelligence. This role partners with Foundation Model Research and product teams to optimize cutting-edge models and deliver production inference solutions serving millions of customers in real time.

What You'll Do

  • 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 for launching models serving millions of customers in real time.
  • Build profiling tools and simulators to understand inference bottlenecks across different hardware and use cases.
  • Mentor and guide engineers in the organization.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

5+ years of experience leading and driving complex, ambiguous projects; experience with LLM inference stack; familiarity with GPU programming concepts using CUDA; familiarity with PyTorch or TensorFlow; experience with high throughput services particularly at supercomputing scale; proficiency running applications on AWS, Azure or equivalent using Kubernetes and Docker; BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field.

Required

  • LLM inference stack
  • CUDA
  • PyTorch or TensorFlow
  • High throughput services at supercomputing scale
  • AWS, Azure or equivalent
  • Kubernetes
  • Docker
  • BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field

Preferred

  • Modern languages such as Golang or Python
  • Fundamental deep learning architectures such as Transformers and Encoder/Decoder models
  • Nvidia TensorRT-LLM, vLLM, DeepSpeed or Nvidia Triton Server
  • Custom CUDA kernels using CUDA or OpenAI Triton
  • MS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field

Original job description

Content provided by the employer

Summary

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 language and vision and speech models using state of the art technologies and make it run at scale of Apple.

Description

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.

Responsibilities

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

Minimum Qualifications

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

Preferred Qualifications

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.

Pay & Benefits — Seattle, Washington, United States

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 $175,000 and $308,500, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Pay & Benefits — Santa Clara, California, United States

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

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.