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Apple
Apple

Think Different.

Machine Learning Engineer - Vision Products Software

RoleMachine Learning
LevelMid Level
LocationLos Angeles, Canada, United States
WorkOn-site
TypeFull-time
Posted1 month ago
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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

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

10 reviews

3.9

10 reviews

Work-life balance

2.8

Compensation

4.2

Culture

3.6

Career

3.4

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

Fast-paced and high-stress environment

Long hours and heavy workload

Salary Ranges

11,365 data points

Junior/L3

L2

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

L3

L4

L5

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