Search jobs > Cupertino, CA > Machine learning engineer

AIML - Machine Learning Engineer, Foundation Models

Apple
Cupertino, CA, United States
$143.1K-$264.2K a year
Full-time

Summary

Posted : Sep 11, 2024

Role Number : 200567389

We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products.

We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.

Description

We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from.

You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.

Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of millions of users.

  • Proven track record in training or deployment of large models or building large-scale distributed systems.
  • Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
  • Ability to work in a collaborative environment.

Preferred Qualifications

  • Web-scale information retrieval
  • Human-like conversation agent
  • Multi-modal perception for existing products and future hardware platforms
  • On-device intelligence and learning with strong privacy protections

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 $143,100 and $264,200, 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.

More

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.

30+ days ago
Related jobs
Promoted
Apple
Sunnyvale, California

We (Spatial Perception Team) looking for a machine learning researcher to work on the field of Generative AI and multi-modal foundation models. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple product & experiences! As a member of our dynami...

Apple Inc.
Cupertino, California

As a Machine Learning Performance Engineer, you will play a critical role in ensuring the efficiency and scalability of Siri's machine learning models. AIML - Sr Machine Learning Performance Engineer, Siri and Information Intelligence. The Siri team in the AIML group at Apple is seeking an exception...

Promoted
Apple
Cupertino, California

We are part of the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple's ecosystem. Here are a selection of relevant Apple Machine learning Blogs and WWDC presentations: https://machinelearning. Are you interested...

Apple
Cupertino, California

This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions...

Promoted
Apple
Cupertino, California

We're seeking machine learning engineers who share our vision and passion for pushing the boundaries of what's possible on every Apple device. You will have the opportunity to showcase your machine learning skills and expertise to help redefine Apple's cameras. Your primary responsibilities will inc...

Google Cloud - Minnesota
Sunnyvale, California

Experience with research communities/efforts, including publishing papers in machine learning and NLP conferences (e. Experience with prompt engineering. Experience with deep learning/LLM-based products or platforms. Google's software engineers develop the next-generation technologies that change ho...

Acceler8 Talent
Palo Alto, California

Our success in developing, aligning, and deploying state-of-the-art models has established a strong foundation. Our pretraining team is responsible for creating and refining the foundational models that power our AI capabilities for enterprise applications. Research engineers in this role focus on d...

TikTok
San Jose, California

On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommende...

Aurora
Mountain View, California

Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios. Extensive experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e. Strong track recor...

Nuro
Mountain View, California

You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable data pipelines, building models to deploying the optimized models on Nuro’s fleet of self-driving robots!. Collaborate closely with machine learning domain experts and engine...