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Machine Learning Engineer, Vision Products Group

Apple

Machine Learning Engineer, Vision Products Group

Apple

Los Angeles, 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

Deep Learning

Natural Language Processing

Machine Learning

AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy.
In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices.

Description:

As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale.

You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production.","responsibilities":"Design and implement ML models and algorithms for conversational understanding, generation, and personalization

Rapidly prototype and evaluate new model architectures, prompting strategies, and fine-tuning approaches

Translate research ideas into production-ready systems, collaborating across teams to ensure smooth integration

Contribute to end-to-end ML pipelines, from data exploration and model training to deployment and evaluation

Write clean, maintainable, and well-tested code that meets Apple's production standards

Participate in architecture discussions, design reviews, and peer code reviews

Help shape technical direction and contribute to roadmaps for next-generation AI capabilities

Preferred Qualifications:

Experience with conversational AI systems or interactive ML-driven experiences

Exposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction)

Familiarity with Apple platforms, frameworks, or ML infrastructure

Evaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products

Minimum Qualifications:

Phd +3yrs or MS + 5yrs relevant experience in related field (AIML, CS, EE etc.)

Strong experience with deep learning, particularly in natural language processing and/or multimodal models

Hands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluation

Familiarity with ranking, retrieval, and personalization algorithms

Proficiency in Python and experience with ML frameworks such as Py Torch (Tensor Flow a plus)

Experience integrating ML models into production systems

Strong communication skills and the ability to collaborate across disciplines

Curiosity, pragmatism, and a product-oriented mindset

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

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 / year

Base

-

Stock

-

Bonus

-

$103,682

$140,276

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