Manager, Algorithms Engineering Program Manager (EPM), Ad Platforms

Apple

A technology company that creates products that enrich people's lives, with a focus on innovative technology and user privacy.

San Francisco, CA, USA

$173,100 - $301,400

Machine Learning

Staff Software Engineer

In-Person

7+ years of experience

Description For Manager, Algorithms Engineering Program Manager (EPM), Ad Platforms

Apple's Advertising Platforms group is seeking an experienced Algorithms Engineering Program Manager (EPM) Lead to drive innovation in their advertising technology while maintaining user privacy. This role combines technical leadership with people management, requiring a blend of AI/ML expertise and project management skills.

The position involves leading a team of EPMs while overseeing critical initiatives that enhance advertiser and user experiences on Apple's platforms. You'll be responsible for managing complex machine learning projects that directly impact business growth, working with highly performant systems deployed at scale. The role requires deep technical understanding combined with strong leadership abilities to guide cross-functional teams through strategic decisions.

As the Algorithms EPM Lead, you'll collaborate with Product and Engineering teams to define technical requirements, manage dependencies, and ensure successful delivery of key milestones. You'll contribute to shaping Apple's technical direction by assessing technical debt and aligning strategic plans. The role offers the opportunity to work with cutting-edge technology while maintaining Apple's high standards for user privacy.

The ideal candidate brings 7+ years of project management experience with AI/ML systems and 3+ years of people management experience. You should be well-versed in Agile methodologies and have a proven track record of delivering complex technical projects in large organizations. Strong communication skills are essential as you'll be the bridge between technical and business teams.

This role offers the unique opportunity to work at the intersection of advertising technology and privacy-preserving innovations at one of the world's most influential tech companies. You'll have access to comprehensive benefits, including medical coverage, stock options, and educational support, while working on projects that impact millions of users worldwide.

Last updated 3 months ago

Responsibilities For Manager, Algorithms Engineering Program Manager (EPM), Ad Platforms

Oversee critical initiatives focused on improving advertiser and user experiences
Manage and mentor a team of EPMs
Navigate dependencies, mitigate risks, and meet ambitious timelines
Guide teams through strategic decisions
Lead project planning, prioritization, and execution of machine learning initiatives
Contribute to shaping Apple's technical direction
Keep stakeholders informed on project progress
Develop Agile best practices

Requirements For Manager, Algorithms Engineering Program Manager (EPM), Ad Platforms

Python

7+ years of project management experience, with familiarity in AI/ML systems
3+ years of people management experience, including leading cross-functional teams
Experience with low latency architectures, cloud platforms, and/or data-driven solutions
Proven experience in delivering complex technical projects within matrixed organizations
Strong communication and leadership skills
Experience applying Agile methodologies

Benefits For Manager, Algorithms Engineering Program Manager (EPM), Ad Platforms

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

A technology company that creates products that enrich people's lives, with a focus on innovative technology and user privacy.

San Francisco, CA, USA

$173,100 - $301,400

Machine Learning

Staff Software Engineer

In-Person

7+ years of experience

Apple

Odd Even Linked List

Data Structures & AlgorithmsMedium

Given the head of a singly linked list, group all the nodes with odd indices together followed by the nodes with even indices, and return the reordered list. The first node is considered odd, and the second node is even, and so on. Note that the relative order inside both the even and odd groups should remain as it was in the input. You must solve the problem in O(1) extra space complexity and O(n) time complexity. For example: Input: head = [1,2,3,4,5] Output: [1,3,5,2,4] Input: head = [2,1,3,5,6,4,7] Output: [2,3,6,7,1,5,4]

Linked Lists

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

This question asks the candidate about their salary expectations. Interviewers ask this to see if the candidate's expectations align with the company's budget. It's crucial to research industry standards and company compensation ranges beforehand. Be prepared to discuss your desired salary range and how your skills and experience justify it. For example, you might say, "Based on my research and experience, I'm looking for a salary in the range of $X to $Y, but I am flexible."

Behavioral

What is your expected salary range?

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