Video Machine Learning Engineer

Apple

Apple is where individual imaginations gather together, creating innovative products and services that change lives for the better.

San Diego, CA, USA

$135,400 - $250,600

Machine Learning

Senior Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Description For Video Machine Learning Engineer

Apple is seeking a talented Video Machine Learning Engineer to join their innovative team focused on shaping the future of video technology. This role sits at the intersection of machine learning and video processing, working on cutting-edge technologies that power essential Apple products including FaceTime, Camera, AirPlay, CarPlay, Screen Share, and Immersive Reality applications.

As a senior member of the team, you'll be responsible for developing sophisticated machine learning and deep learning solutions that enhance user experiences across Apple's product ecosystem. The role requires expertise in neural network architecture design, algorithm development, and optimization, with a focus on video processing applications.

The position offers an exceptional opportunity to make a significant impact on products used by millions of customers worldwide. You'll work alongside highly motivated specialists in a collaborative environment that values innovation and technical excellence. The team's work directly influences how users interact with video features across Apple's product line.

The compensation package is highly competitive, ranging from $135,400 to $250,600 base salary, complemented by Apple's comprehensive benefits package. This includes medical and dental coverage, retirement benefits, and various stock participation opportunities. Apple also supports professional growth through educational reimbursement programs.

The ideal candidate will bring a Master's degree in Electrical Engineering or Computer Science (or equivalent experience), combined with deep expertise in neural networks and video processing. You'll need strong programming and problem-solving skills, with modern video codec knowledge being advantageous.

This role represents a unique opportunity to join Apple's mission of creating technology that enriches people's lives. You'll be part of a company culture that celebrates diversity of thought and approaches, where your contributions will directly influence the next generation of video technology features in Apple products.

Working from the San Diego office, you'll be part of Apple's Software and Services division, contributing to projects that require both technical expertise and creative problem-solving. The role offers the chance to work on complex technical challenges while collaborating with various teams to bring new technologies to market.

If you're passionate about machine learning, video technology, and creating exceptional user experiences, this role offers the perfect blend of technical challenge and real-world impact. Join Apple in pushing the boundaries of what's possible in video technology and machine learning applications.

Last updated 3 months ago

Responsibilities For Video Machine Learning Engineer

Develop ML/DL solutions to enhance or bring new user experiences
Develop new or improve existing algorithms
Design neural network architectures
Train, optimize, and integrate networks
Coordinate with various teams to ship new technology in Apple products

Requirements For Video Machine Learning Engineer

Master's degree in Electrical Engineering or Computer Science or 3 years of equivalent work experience
Deep understanding and strong experience in designing and optimizing neural networks
Experience in digital image and video processing
Strong programming, problem solving, and performance optimization skills
Modern video codec knowledge is a plus

Benefits For Video Machine Learning Engineer

Medical Insurance

Dental Insurance

Equity

Education Budget

Relocation Benefits

Comprehensive medical and dental coverage
Retirement benefits
Employee stock programs
Discretionary restricted stock unit awards
Employee Stock Purchase Plan with discount
Educational expense reimbursement
Discretionary bonuses
Relocation benefits
Range of discounted products and free services

Apple

Apple is where individual imaginations gather together, creating innovative products and services that change lives for the better.

San Diego, CA, USA

$135,400 - $250,600

Machine Learning

Senior Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Apple

Count the Number of Incremovable Subarrays I

Data Structures & AlgorithmsEasy

You are given a 0-indexed array of positive integers nums. A subarray of nums is called incremovable if nums becomes strictly increasing on removing the subarray. For example, the subarray [3, 4] is an incremovable subarray of [5, 3, 4, 6, 7] because removing this subarray changes the array [5, 3, 4, 6, 7] to [5, 6, 7] which is strictly increasing. Return the total number of *incremovable* subarrays of nums. Note that an empty array is considered strictly increasing. A subarray is a contiguous non-empty sequence of elements within an array. Example 1: Input: nums = [1,2,3,4] Output: 10 Explanation: The 10 incremovable subarrays are: [1], [2], [3], [4], [1,2], [2,3], [3,4], [1,2,3], [2,3,4], and [1,2,3,4], because on removing any one of these subarrays nums becomes strictly increasing. Note that you cannot select an empty subarray. Example 2: Input: nums = [6,5,7,8] Output: 7 Explanation: The 7 incremovable subarrays are: [5], [6], [5,7], [6,5], [5,7,8], [6,5,7] and [6,5,7,8]. It can be shown that there are only 7 incremovable subarrays in nums. Example 3: Input: nums = [8,7,6,6] Output: 3 Explanation: The 3 incremovable subarrays are: [8,7,6], [7,6,6], and [8,7,6,6]. Note that [8,7] is not an incremovable subarray because after removing [8,7] nums becomes [6,6], which is sorted in ascending order but not strictly increasing.

Arrays

Two Pointers

Apple

What is FIFO depth and why is it important?

System DesignMedium

Let's explore the concept of FIFO (First-In, First-Out) depth in the context of data structures. What is FIFO depth, and why is it important to consider when designing and implementing a FIFO queue?** Explain how FIFO depth affects performance (latency and throughput), resource utilization (memory), and error conditions (overflow and underflow).** Can you provide a detailed example of a real-world scenario where FIFO depth is a critical parameter, like in a communication system or hardware design? For instance, if you are designing a system to process network packets, what factors would influence your choice of FIFO depth for the packet buffer? How does the arrival rate of packets, the processing time for each packet, and the acceptable packet loss rate play a role in determining the appropriate FIFO depth?** Also, discuss different strategies for managing FIFO depth dynamically based on system load and resource availability. How can adaptive FIFO depth control improve overall system performance and robustness?** What are some techniques to estimate the required FIFO depth analytically or through simulation?**

Database Problems

Apple

What do you love about working at Apple?

Behavioral

What do you love about working at Apple?

Interested in this job?

Jobs Related To Apple Video Machine Learning Engineer

Multimodal Generative Modeling Research Engineer - SIML, ISE

Apple

Senior ML engineering role at Apple focusing on multimodal generative AI research and development for user-facing applications.

ISP Algorithm Engineer - Computer Vision

Apple

Senior Computer Vision Engineer role at Apple, focusing on developing and implementing advanced camera algorithms for Apple products, offering competitive compensation and benefits.

Computer Vision/Deep Learning Engineer

Apple

Senior Computer Vision/Deep Learning Engineer role at Apple, focusing on biometric ML algorithms and computer vision solutions for next-generation products.

ML Software Engineer

Apple

Senior ML Software Engineer role at Apple, building ML-inference applications and services on Apple Silicon, focusing on generative AI and cloud compute infrastructure.

Software QA Engineer, Machine Learning (SF)

Apple

Senior ML QA Engineer role at Apple, focusing on iOS and macOS creativity applications, requiring 5+ years of experience in QA and machine learning.