Computer Vision Research Engineer - Apple Maps 3D Vision Team

Apple

Apple is a technology company where individual imaginations gather together to create innovative products and services that change lives for the better.

San Francisco, CA, USA

$143,100 - $264,200

Machine Learning

Senior Software Engineer

In-Person

5,000+ Employees

2+ years of experience

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Description For Computer Vision Research Engineer - Apple Maps 3D Vision Team

Apple's 3D Vision team at Apple Maps is seeking exceptional talent to join their computer vision and machine learning experts. This role offers an exciting opportunity to work on groundbreaking technology, developing new methods and algorithms deployed globally. You'll be working with massive datasets collected from various platforms including aerial, satellite, and ground sources.

As a Computer Vision Research Engineer, you'll be part of a dynamic team focused on creating accurate and hyper-realistic 3D experiences at a global scale. The role involves developing cutting-edge methods in differentiable rendering (NeRF, Gaussian Splatting), generative models, and other areas of computer vision and machine learning.

The position requires a Masters degree with 2+ years of experience or preferably a PhD in Computer Vision, Machine Learning, AI, Computer Science, or related fields. Strong programming skills, particularly in Python and C/C++, are essential. Experience with deep learning frameworks and modern differentiable rendering methods is highly valued.

Apple offers a competitive compensation package ranging from $143,100 to $264,200 base salary, plus additional benefits including stock options, comprehensive healthcare, and education reimbursement. You'll be working at Apple's headquarters in Cupertino, contributing to technology that impacts millions of users worldwide.

This is an excellent opportunity for someone passionate about computer vision and machine learning to work on challenging problems with real-world applications. You'll be joining a fast-paced, pragmatic team that values innovation and technical excellence, while having the resources and support of one of the world's leading technology companies.

Last updated 3 months ago

Responsibilities For Computer Vision Research Engineer - Apple Maps 3D Vision Team

Develop novel groundbreaking methods within differentiable rendering (NeRF, Gaussian Splatting, etc.)
Work on extremely large data sets of different modalities
Research and develop new methods and algorithms deployed on a global scale
Create accurate and hyper-realistic 3D experiences at a global scale

Requirements For Computer Vision Research Engineer - Apple Maps 3D Vision Team

Python

Strong background in Computer Vision and Machine Learning
Significant experience in researching and developing innovative approaches within Computer Vision and Machine Learning
Solid programming skills
Masters degree + 2 years experience

Benefits For Computer Vision Research Engineer - Apple Maps 3D Vision Team

Medical Insurance

Dental Insurance

401k

Equity

Education Budget

Relocation Benefits

Comprehensive medical and dental coverage
Retirement benefits
Employee stock programs
Education reimbursement
Discretionary restricted stock unit awards
Employee Stock Purchase Plan
Discretionary bonuses
Relocation assistance
Product discounts
Free services

Apple

Apple is a technology company where individual imaginations gather together to create innovative products and services that change lives for the better.

San Francisco, CA, USA

$143,100 - $264,200

Machine Learning

Senior Software Engineer

In-Person

5,000+ Employees

2+ years of experience

Apple

Different Ways to Add Parentheses

Data Structures & AlgorithmsMedium

Given a string expression of numbers and operators, return all possible results from computing all the different possible ways to group numbers and operators. You may return the answer in any order. The test cases are generated such that the output values fit in a 32-bit integer and the number of different results does not exceed 104. For example: If the input is expression = 2-1-1 The expected output is [0,2] Because: ((2-1)-1) = 0 (2-(1-1)) = 2 If the input is expression = 23-45 The expected output is [-34,-14,-10,-10,10] Because: (2(3-(45))) = -34 ((23)-(45)) = -14 ((2(3-4))5) = -10 (2((3-4)5)) = -10 (((23)-4)5) = 10 Constraints: 1 <= expression.length <= 20 expression consists of digits and the operator '+', '-', and '*'. All the integer values in the input expression are in the range [0, 99]. The integer values in the input expression do not have a leading '-' or '+' denoting the sign.

Recursion

Dynamic Programming

Apple

Design a system to detect people around a door and predict their entry.

System DesignHard

Design a system to detect people near a door and predict if they will enter.

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Apple

Describe your approach to debugging malfunctions.

Behavioral

Let's discuss your approach to debugging malfunctions. Imagine you are on call for a critical e-commerce platform, and users start reporting that they are unable to complete their purchases. The error logs show a vague Transaction Failed message with no clear indication of the root cause. The customer service team is overwhelmed with complaints, and the business is losing revenue every minute the issue persists. Describe your initial steps in diagnosing the problem.** What tools or techniques would you use to gather more information? Would you focus on the front-end, back-end, or both? How would you prioritize your debugging efforts?** Would you start by examining the most recent code changes, monitoring server resources, or checking database connections? Explain your strategy for isolating the fault.** What methods would you employ to narrow down the potential causes of the malfunction, such as bisecting the code, using debugging tools, or performing hypothesis testing? Outline your approach to resolving the issue.** Once you have identified the root cause, what steps would you take to fix it quickly and effectively? How would you ensure that your fix does not introduce new problems? Discuss how you would prevent similar malfunctions from occurring in the future.** What proactive measures would you implement to improve the platform's reliability and resilience, such as adding better logging, implementing automated testing, or improving monitoring? Walk me through your thought process and provide specific examples of how you would tackle each step of the debugging process. I'm interested in hearing about your experience with similar situations and how you have successfully resolved them in the past.

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