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Home Based Nvidia Machine Learning Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

LAZ Learning A-Z

Machine Learning Intern

Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and ... We are looking for a summer intern to join our machine learning team. This team focuses on the ...

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Infographic showing various Home Based Nvidia Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Machine Learning Engineer, Foundation Model Services

Apple, Inc.

Santa Clara, CA • On-site

Other

Re-posted 27 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

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
* Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time.
* Work along side 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.
Minimum Qualifications
5 year+ industry 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)
Bachelor's degree or higher in Computer Science or related technical field.
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.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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