AIML - Machine Learning Engineer, Data and ML Innovation

Apple

A leading technology company that advances machine learning and Artificial Intelligence to enrich lives through innovative products.

Seattle, WA, USA

$135,400 - $250,600

Machine Learning

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Description For AIML - Machine Learning Engineer, Data and ML Innovation

Apple's Data and Machine Learning Innovation organization is seeking a skilled ML Engineer to join their Evaluation & Data Insights team. This role focuses on advancing machine learning and AI across Apple's product ecosystem, including iPhone, iPad, HomePod, Mac, Watch, and tv. The position involves building innovative and scalable evaluation systems for Apple's products, utilizing software engineering skills and various ML/AI techniques to improve effectiveness and efficiency.

The ideal candidate will work on developing tools for human-in-the-loop evaluation processes, creating automatic evaluation systems, and automating data scientists' workflows. They will collaborate with cross-functional teams to enhance product quality and inform feature development across dozens of languages. The role offers exposure to cutting-edge AI techniques and the opportunity to impact Apple's product development directly.

Candidates should have strong programming skills in Python, experience with ML/GenAI applications, and proficiency in building scalable solutions. The position offers comprehensive benefits, including medical coverage, stock options, and educational support. This is an excellent opportunity for someone passionate about AI/ML who wants to contribute to improving user experiences at one of the world's leading technology companies.

The role combines technical expertise with practical application, requiring both strong analytical skills and the ability to collaborate effectively with various teams. Success in this position demands staying current with emerging trends in generative modeling and the ability to quickly adopt new techniques and tools.

Last updated 12 days ago

Responsibilities For AIML - Machine Learning Engineer, Data and ML Innovation

Develop tools to improve human-in-the-loop evaluation processes
Develop automatic evaluation systems that systematically assess model performance and detect areas of weakness
Automate data scientists' performance analysis workflows
Stay at the forefront of ML and GenAI advancements
Partner with various engineering teams to elevate Apple product quality

Requirements For AIML - Machine Learning Engineer, Data and ML Innovation

Python

Experience in developing and deploying ML/GenAI applications on cloud or premise
Strong programming skills in Python
Proficient in building scalable API solutions
Experience with AWS cloud infrastructure
Strong communication skills
Proficiency in critical thinking and problem-solving
B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas

Benefits For AIML - Machine Learning Engineer, Data and ML Innovation

Medical Insurance

Dental Insurance

Education Budget

Equity

Relocation Benefits

Comprehensive medical and dental coverage
Retirement benefits
Employee stock programs
Educational expense reimbursement
Discretionary bonuses
Relocation benefits
Employee Stock Purchase Plan
Discounted products and free services

Apple

A leading technology company that advances machine learning and Artificial Intelligence to enrich lives through innovative products.

Seattle, WA, USA

$135,400 - $250,600

Machine Learning

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Apple

Climbing Stairs

Data Structures & AlgorithmsEasy

You are climbing a staircase. It takes n steps to reach the top. Each time you can either climb 1 or 2 steps. In how many distinct ways can you climb to the top? Example 1: Input: n = 2 Output: 2 Explanation: There are two ways to climb to the top. 1 step + 1 step 2 steps Example 2: Input: n = 3 Output: 3 Explanation: There are three ways to climb to the top. 1 step + 1 step + 1 step 1 step + 2 steps 2 steps + 1 step Constraints: 1 <= n <= 45

Dynamic Programming

Recursion

Apple

Design API to display total iOS downloads from different devices in a graph

System DesignMedium

Design an API to display the total number of iOS downloads from different devices in a graph.

Graphs

Database Problems

Arrays

Apple

Walk through a resume project, learning new tech, and maximum subarray problem with specific constraints. Optimize it further if possible too.

Behavioral

Let's explore your resume and then dive into a coding question. First, regarding your resume: Could you walk me through a project that you are particularly proud of? Describe your role, the challenges you faced, and the solutions you implemented. Be specific about the technologies you used and the impact your contributions had on the project's outcome. Tell me about a time you had to work with a technology or framework that you were unfamiliar with. How did you approach learning it, and how did you apply it to the project at hand? What resources did you find most helpful, and what challenges did you encounter during the learning process? Describe a situation where you had to make a trade-off between different approaches or technologies. What factors did you consider when making your decision, and how did you evaluate the potential consequences of each option? Can you provide a specific example of such a trade-off? Now, for the coding question: Given a list of integers, write a function to find the contiguous sub-array with the largest sum. For example, if the input is [-2, 1, -3, 4, -1, 2, 1, -5, 4], the output should be [4, -1, 2, 1], with a sum of 6. Explain your approach, and provide a working implementation of the function in your preferred programming language. Consider edge cases such as an empty input list or a list with only negative numbers. What is the time complexity of your solution? Can you optimize it further?

Arrays

Dynamic Programming

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