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AIML - ML Infrastructure Engineer, ML Platform & Technology - ML Compute

Apple

AIML - ML Infrastructure Engineer, ML Platform & Technology - ML Compute

Apple

Emeryville, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$171,600 - $302,200

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Healthcare

401k

Equity

Learning

Required Skills

Python

Go

Distributed systems

Kubernetes

Ray

PySpark

Cloud platforms

Backend systems

Containerization

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something!

Description:

As a Senior/Staff Engineer on the Foundation Model Compute Infra team, you will design and scale the scheduling and orchestration systems that power Apple's large-scale foundation model training and inference workloads across TPU clusters. You will drive innovations in resource management, cluster efficiency, and platform reliability, enabling Apple's next-generation AI models to train and serve at scale.","responsibilities":"Lead the design and evolution of the scheduling platform that manages large-scale TPU workloads across multi-region clusters, supporting both training and inference.

Develop topology-aware and quota-aware schedulers to improve cluster utilization, job latency, and fairness.

Collaborate with Apple Foundation Model team to integrate advanced distributed computing frameworks (Pathways, Ray, Beam, Jet Stream) into the platform or expose them as reliable, scalable services.

Automate complex operational workflows for quota updates, job lifecycle management, and resource provisioning to reduce on-call and dev-ops overhead.

Mentor engineers and partner across teams to influence the direction of Apple's large-scale distributed compute strategy.

Preferred Qualifications:

Advance degrees in Computer Science, engineering, or a related field

Proficient in working with and debugging accelerators, like: GPU, TPU, AWS Trainium

Proficient in ML training and deployment frameworks, like: JAX, Tensorflow, Py Torch, TensorRT, vLLM

Minimum Qualifications:

Bachelors in Computer Science, engineering, or a related field

Experience with foundation model training and inference workloads across TPU clusters

5+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning models

Proficient in relevant programming languages, like Python or Go

Strong expertise in distributed systems, reliability and scalability, containerization, and cloud platforms

Proficient in cloud computing infrastructure and tools: Kubernetes, Ray, Py Spark

Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find

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 .

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 $171,600 and $302,200, 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.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit