Software Engineer, Systems ML - Frameworks / Compilers / Kernels

Meta

A technology company building innovative solutions in social media, AR/VR, and artificial intelligence at global scale.

Toronto, ON, Canada

$150,000 - $250,000

Machine Learning

Senior Software Engineer

In-Person

5,000+ Employees

5+ years of experience

AI · Enterprise SaaS · AR/VR

Description For Software Engineer, Systems ML - Frameworks / Compilers / Kernels

Meta's Toronto office is focused on solving the hardest problems at unimaginable scale. The company culture emphasizes taking ownership and delivering as a team, with a strong focus on innovation and pushing boundaries. The office is actively working on cutting-edge projects in artificial intelligence, AR technology, and machine learning systems.

The role involves working on ML frameworks, compilers, and kernels within the AI Infrastructure team. This position offers the opportunity to work on systems that power Meta's AI initiatives across its family of apps and technologies. The team is particularly focused on merging physical and digital worlds with AR tech, while also developing and implementing machine learning solutions at scale.

This is an excellent opportunity for engineers passionate about machine learning systems and infrastructure who want to make an impact at global scale. The position offers the chance to work with world-class engineers and researchers, while contributing to technology that affects billions of users worldwide.

The role combines deep technical expertise in machine learning systems with the opportunity to work on next-generation AI infrastructure. You'll be part of a team that's not just using existing technologies, but actively developing new ones to solve unprecedented challenges in the AI space.

Last updated 2 months ago

Responsibilities For Software Engineer, Systems ML - Frameworks / Compilers / Kernels

Develop and optimize ML frameworks and compilers
Build and maintain AI infrastructure systems
Collaborate with cross-functional teams on AI initiatives
Design and implement efficient kernel solutions

Requirements For Software Engineer, Systems ML - Frameworks / Compilers / Kernels

Python

Experience with machine learning frameworks
Strong programming skills in systems languages
Knowledge of compiler optimization techniques
Understanding of distributed systems

Benefits For Software Engineer, Systems ML - Frameworks / Compilers / Kernels

Medical Insurance

Dental Insurance

Vision Insurance

401k

Competitive salary
Comprehensive benefits package

Meta

A technology company building innovative solutions in social media, AR/VR, and artificial intelligence at global scale.

Toronto, ON, Canada

$150,000 - $250,000

Machine Learning

Senior Software Engineer

In-Person

5,000+ Employees

5+ years of experience

AI · Enterprise SaaS · AR/VR

Meta

Explain stacks and queues with code examples.

Data Structures & AlgorithmsMedium

Describe the difference between a stack and a queue. Provide an example of when you might use each data structure. Write functions to implement the push and pop methods for a stack and the enqueue and dequeue methods for a queue. Explain the time complexity of each of these operations. Additionally, discuss a scenario where you might need to implement a stack using a queue or a queue using a stack.

Stacks

Arrays

Linked Lists

Meta

Design a meeting room booking system for a large company.

System DesignMedium

Let's design a system to efficiently manage meeting room bookings for a large company. Consider the following: Scalability: The system should handle a large number of meeting rooms and employees. Concurrency: Multiple users should be able to book rooms simultaneously without conflicts. Features: Room availability search based on time, date, and number of attendees. Recurring meeting support. Integration with employee calendars (e.g., Google Calendar, Outlook). Conflict detection and resolution. Reporting and analytics (e.g., room utilization). Example: Imagine a company with 100 meeting rooms and 5000 employees. A user wants to book a room for a daily stand-up meeting with 10 attendees, recurring every weekday for the next month. How would your system handle this request, ensuring no double bookings and updating the user's calendar? Specifically, discuss the system architecture, data models, key algorithms, and potential bottlenecks. How would you address these bottlenecks to ensure the system remains responsive and reliable?

Database Problems

Dynamic Programming

Greedy Algorithms

Meta

Where are you from?

Behavioral

Where are you from in the US?

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