refresh

トレンド企業

Trending

採用

JobsApple

Safety & Contextual Algorithms Validation Engineer

Apple

Safety & Contextual Algorithms Validation Engineer

Apple

Cupertino, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$147,400 - $272,100

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Healthcare

401k

Equity

Learning

Required Skills

Python

Signal Processing

Machine Learning

Data Analysis

Statistical Analysis

The Motion Safety & Activity Context team is looking for a talented engineer to drive design data quality and algorithm performance to develop the next generation of contextual awareness, and safety features. Your role will include ensuring the highest performance and quality of multi-modal sensor based algorithms that impact the lives of Apple customers every day.

Description:

Our team's work enables key features like Crash Detection for severe car crashes, Fall Detection, Movement Disorders API and an advanced Activity Classification. We are a dynamic, collaborative group that works at the intersection of scientific research and product development. We develop science-backed designs of best-in-class AI/ML models that capture the multifactorial nature of human health and behavior, delivering insights straight to our customers. We promote innovation and new technology to further improve our creative output. We are seeking a tenacious and passionate person to join this amazing team. If you feel this is you, we'd love to hear from you.","responsibilities":"Challenge the design and implementation of sensor based algorithms

Define KPIs & performance targets and analyze analytics for algorithm verification and validation

Utilize cutting edge generative AI techniques to assess algorithm performance

Create automated monitoring and evaluation systems to constantly track feature performance

Profile, process, and evaluate large structured and unstructured datasets

Participate and present in code review, and data review

Perform comprehensive assessments of AI model outputs to identify areas of enhancement and facilitate algorithm improvements

Communicate with upstream (e.g. hardware) and downstream (e.g. app) stakeholders to drive end-to-end user experience of the feature.

Preferred Qualifications:

Ability to work in dynamic environment with shifting priorities and schedules

Familiarity building data pipelines for large-scale data processing

Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, indices, familiarity with AWS services/API such as S3 is a plus

Familiarity testing hardware and/or testing software (including designing, implementing and executing test plans) is a plus

Detail-oriented, able to find bugs, investigate & debug issues, and drive solutions to difficult problems

Excellent analytical and problem solving skills, self-motivated, laser-focused, and solution-oriented

Minimum Qualifications:

BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent

Background in one or more of the following domains: time-series analysis, signal processing, sensor fusion, machine learning, AI models, statistics, proficient at coding in Python and/or Matlab

Proficient at data analysis, data visualization, and reporting

Experience in validating AI models, crafting benchmarks and evaluation protocols, and performing statistical analysis.

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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

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