AIML - Machine Learning Engineer, Foundation Model Services

Apple; Seattle (WA); On-site; USD 197,000 - 297,000; Full time

Job summary

An established industry player is seeking a passionate Machine Learning Engineer to join their Foundation Model Services team. This role offers the chance to work on groundbreaking technologies that power various Apple services, impacting millions of users globally. You'll collaborate with product teams to create high-performance solutions while mentoring fellow engineers. If you're ready to innovate and optimize large-scale machine learning models, this opportunity is perfect for you. Join a team dedicated to pushing the boundaries of technology and making a difference in people's lives.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement for career advancement

Discretionary bonuses

Employee stock purchase plan

Qualifications

• 8+ years of experience in ML technologies and leading complex projects.
• Proficient in building systems using modern languages like Python and Golang.

Responsibilities

• Build production-grade solutions for real-time model serving.
• Mentor and guide engineers while developing inference for cutting-edge models.

Skills

Machine Learning

Natural Language Processing (NLP)

Information Retrieval

Statistics

Cloud Computing (AWS/Azure)

Kubernetes

Docker

Golang

Python

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Pytorch

TensorFlow

Nvidia TensorRT-LLM

DeepSpeed

Nvidia Triton Server

Job description

AIML - Machine Learning Engineer, Foundation Model Services

Seattle, Washington, United States Machine Learning and AI

Summary

Posted: Apr 08, 2025

Role Number: 200598646

Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology? If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people’s face”. Foundation Model Services team, within Machine Learning Platform Technologies organization is the back-bone of 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 a difference in life of people. 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

1. Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time.
2. Work alongside Foundation Model Research team to prototype and develop inference for cutting edge model architectures.
3. Build tools to understand bottlenecks in Inference for different hardwares and use cases.
4. Mentor and guide engineers in the organization.

Minimum Qualifications

1. Bachelor’s degree or higher in Computer Science or related technical field.
2. 8+ years of experience leading and driving complex, ambiguous projects.
3. Industry background and experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics).
4. Experience with high throughput services particularly at supercomputing scale.
5. Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
6. Proficient in building and maintaining systems written in modern languages (eg: Golang, python).

Preferred Qualifications

1. Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
2. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
3. Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.

Pay & Benefits

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 $197,400 and $296,300, 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.

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 take affirmative action to ensure 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.