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Estimation Scientist - Location Services Special Projects

Apple

Estimation Scientist - Location Services Special Projects

Apple

Cupertino, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$147,400 - $272,100

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Relocation Assistance

Healthcare

401k

Equity

Learning

Required Skills

C++

Estimation theory

Signal processing

Data analysis

Software debugging

As an Estimation Scientist pursuing special projects within the Location Services team, you will be part of an elite group investigating new technologies and how they can transform the lives of our users. We nurture new ideas from prototype to production, helping to establish hardware requirements and system design, conduct developmental testing, write production software, and track our results relative to physical and theoretical limits.
Shape the next generation of location-aware mobile experiences by working on state-of-the-art technologies to seamlessly integrate people's digital and physical lives. If you're passionate about building technology that will make a difference, we may be the team for you.

Description:

Join a team which designs, implements, and powers brand new technologies and services on a platform that empowers millions of developers and reaches over a billion users. We are looking for a highly-motivated and creative estimation scientist with an understanding of RF-based location technologies and related fields (RF ranging and angle-of-arrival techniques, estimation theory, proximity detection, GNSS, error modeling).

","responsibilities":"Develop estimation strategies and software to investigate new technologies, fuse with existing capabilities, and enable new classes of capabilities and user experience. Invent and design systems to solve interesting problems in RF ranging, angle-of-arrival, GNSS, Wi Fi/Cell, indoor positioning, i Beacon, location-based reminders, inertial sensor fusion, dead reckoning, crowd-sourced analytics, and other location-related technologies.

Preferred Qualifications:

Good collaboration skills

Understanding of radar a plus

Strong creative problem solving skills

A passion for developing new technologies

Experience with AI/ML or Computer Vision a plus:

iOS, OS X, application, and/or unix system development a plus

Interested in creating new technologies and solving the algorithmic challenges that come with it.

Passion for actively learning new skills, techniques, and programming languages/libraries/frameworks.

Desire to be exposed to all aspects of development; prototyping, planning, designing, productizing, launching, and scaling.

Obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways.

Laser-focused on the smallest details that are meaningful to our customers.

Minimum Qualifications:

Strong theoretical and practical understanding of estimation, especially as it applies to device location (e.g. Kalman filters, particle filter)

Strong software developer experienced in C++

Good understanding of RF and location signal processing techniques, e.g. ranging, TOA, RTT, PDOA, and TDOA

Ability to prototype systems for technology evaluation, algorithm development, and error modeling

Experience with data analysis and error modeling

Knowledge of software design paradigms and software development best practices

Knows how to debug complex systems

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

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