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Machine Learning Engineer- Health AIML

RoleMachine Learning
LevelMid Level
LocationCupertino, Canada, United States
WorkOn-site
TypeFull-time
Posted2 weeks ago
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The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer passionate about solving real-world problems in the health domain that make a difference in our customers' lives.

Description

In this role, you will use your skills and experience in ML and deep learning to design, implement, tune and evaluate machine learning models and algorithms to solve ambitious problems involving unique data and objectives including state of the art generative AI models and tools. The successful candidate should possess excellent interpersonal skills and ability to work multi-functionally to apply novel research at the intersection of Health and ML into customer features.

Preferred Qualifications

PhD preferred.

5+ years experience in hands-on experience in state-of-the-art machine learning and deep learning as applied to large-scale datasets.

Strong background in generative models, natural language processing, and large language models.

Proficiency working with large scale models using modern machine learning packages (e.g. Tensor Flow, Py Torch, Jax, Huggingface).

Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.

Proven track record of contributing to diverse teams in a collaborative environment.

A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.

Minimum Qualifications

10+ years of overall software development experience.

Experience in leading a team and track record of multi-functional collaboration to deliver customer-facing features in production.

BS/MS/Ph.D. in Computer Science, Computer Engineer, Machine Learning, or related fields or equivalent qualification.

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 $212,000 and $386,300, 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