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AIML - Machine Learning Researcher, Foundation Models

Apple

AIML - Machine Learning Researcher, Foundation Models

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1w ago

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 researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

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, and also improve the experience of millions of users.

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

Minimum Qualifications

Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, Inter Speech) or a track record in applying deep learning techniques to products

Proficient programming skills in Python and one of the deep learning toolkits such as JAX, Py Torch, or Tensorflow

Ability to work in a collaborative environment

PhD, or equivalent practical experience, in Computer Science, or related technical field

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 $147,400 and $272,100, 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

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

3.9

10 reviews

Work-life balance

2.5

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

72%

Recommend to a friend

Pros

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

Cons

Work-life balance challenges

High stress and pressure

Fast-paced environment

Salary Ranges

11,365 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0 reports

$121,979

total per year

Base

-

Stock

-

Bonus

-

$103,682

$140,276

Interview experience

3 interviews

Difficulty

3.3

/ 5

Duration

28-42 weeks

Offer rate

33%

Experience

Positive 33%

Neutral 0%

Negative 67%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience