AIML - Machine Learning Engineer, Foundation Model Services

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

Job summary

An innovative company is seeking a Machine Learning Engineer to develop cutting-edge inference solutions for models serving millions of customers. In this role, you will collaborate closely with product teams and the Foundation Model Research team to prototype and build systems that address bottlenecks in inference across various hardware. This position offers a unique opportunity to mentor fellow engineers and contribute to impactful projects in a dynamic environment. Join a forward-thinking organization that values your growth and offers comprehensive benefits, including stock options and educational reimbursements, making this an exciting opportunity for your career advancement.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement

Discretionary bonuses

Employee stock purchase plan

Qualifications

• 8+ years leading complex projects in ML technologies.
• Experience with high throughput services at supercomputing scale.

Responsibilities

• Build production-grade solutions for real-time model serving.
• Mentor and guide engineers within the organization.

Skills

Machine Learning

Natural Language Processing (NLP)

Information Retrieval

Statistics

Cloud Services (AWS/Azure)

Kubernetes

Docker

Golang

Python

Education

Bachelor’s degree in Computer Science

Higher degree in related technical field

Tools

Pytorch

Tensorflow

Nvidia TensorRT-LLM

DeepSpeed

Nvidia Triton Server

Job description

Seattle, Washington, United States Machine Learning and AI

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Description

* Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time.

* Work alongside the Foundation Model Research team to prototype and develop inference for cutting edge model architectures.

* Build tools to understand bottlenecks in Inference for different hardwares and use cases.

* Mentor and guide engineers in the organization.

Minimum Qualifications

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

Preferred Qualifications

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

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. 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 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. Learn more about your EEO rights as an applicant.