Research Engineer, SysML - FAIR

Meta

Meta builds technologies that help people connect, find communities, and grow businesses through social technology and immersive experiences.

San Francisco, CA, USA

$70,670 - $208,000

Machine Learning

Senior Software Engineer

In-Person

4+ years of experience

Description For Research Engineer, SysML - FAIR

Meta's Fundamental AI Research (FAIR) team is seeking a Research Engineer specializing in SysML to push the boundaries of artificial intelligence. This role combines cutting-edge research with practical implementation at unprecedented scale. As a Research Engineer, you'll be at the forefront of advancing AI through open science innovations, focusing on systems and infrastructure development that enables more efficient and sustainable AI solutions.

The position involves working on fundamental challenges in machine learning systems, including distributed training optimization, development of training libraries, and hardware-software co-design for performance acceleration. You'll be working with technologies like cuBLAS, cuDNN, and FlashAttention, while contributing to Meta's mission of advancing towards human-level intelligence.

The ideal candidate will have a strong background in both research and practical implementation, with at least 4 years of experience in systems, computer architectures, and machine learning. You should be proficient in languages like Python, C++, Rust, and frameworks like PyTorch. The role requires a unique combination of theoretical knowledge and hands-on experience in optimizing large-scale ML systems.

At Meta, you'll be part of a team that values innovation and collaboration, working alongside world-class researchers and engineers. The position offers competitive compensation ($70,670 - $208,000/year) plus bonus and equity, reflecting the high-impact nature of the role. You'll have the opportunity to publish research, contribute to major conferences, and directly influence Meta's product development through your innovations.

This role is perfect for someone who is passionate about pushing the boundaries of AI systems, enjoys solving complex technical challenges, and wants to make a significant impact on the future of artificial intelligence. You'll be working in Menlo Park, CA, at the heart of Meta's research initiatives, with access to state-of-the-art resources and the opportunity to shape the next generation of AI technologies.

Last updated a month ago

Responsibilities For Research Engineer, SysML - FAIR

Carry out cutting-edge research to advance the science and technology of machine learning systems
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
Devise better data-driven models of AI system design and optimization
Contribute research that leads to innovations in scalable machine learning systems and resource-efficient AI
Collaborate with researchers and cross-functional partners
Publish research results and contribute to research that impacts Meta product development

Requirements For Research Engineer, SysML - FAIR

Python

Rust

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Master's degree in Computer Science, Computer Engineering, or equivalent practical experience
4+ years of domain-specific industry experience in systems, computer architectures, ML, and AI
Experience with Python, C++, C, Rust or other related languages and with PyTorch framework
Experience developing and optimizing systems for at-scale machine learning execution
Experience devising data-driven models and real-system experiments
Experience with scalable machine learning systems
Experience solving complex problems and comparing alternative solutions
Experience working and communicating cross functionally in a team environment

Benefits For Research Engineer, SysML - FAIR

bonus
equity
benefits

Meta

Meta builds technologies that help people connect, find communities, and grow businesses through social technology and immersive experiences.

San Francisco, CA, USA

$70,670 - $208,000

Machine Learning

Senior Software Engineer

In-Person

4+ years of experience

Meta

How can you modify a list in-place to move even numbers to the front and odd numbers to the end efficiently, without preserving relative order?

Data Structures & AlgorithmsHard

You are given a list of integers. Modify the list in-place such that all even numbers appear at the beginning of the list and all odd numbers appear at the end. The relative order of even numbers and odd numbers does not matter. For example: If the input list is [3, 1, 2, 4, 6, 7], a valid output would be [2, 4, 6, 3, 1, 7]. Another valid output would be [4, 2, 6, 1, 3, 7]. The even numbers (2, 4, 6) are at the beginning, and the odd numbers (3, 1, 7) are at the end. If the input list is [1, 3, 5, 7], the output should be [1, 3, 5, 7] since all numbers are already odd. If the input list is [2, 4, 6, 8], the output should be [2, 4, 6, 8] since all numbers are already even. If the input list is [], the output should be []. Write a function that takes a list of integers as input and modifies it in-place to satisfy these conditions. Your solution should be efficient, ideally completing the modification in O(n) time complexity and O(1) space complexity.

Arrays

Two Pointers

Meta

Design a URL shortening system like TinyURL.

System DesignMedium

Let's design a system for URL shortening, like TinyURL. Consider the following: Functional Requirements: Users should be able to enter a long URL and get a shorter URL. Users should be able to access the original URL by visiting the shortened URL. The system should be highly available and handle a large number of requests. Analytics: Track the number of times a shortened URL is accessed. Non-Functional Requirements: The system should have low latency for both URL shortening and redirection. The shortened URLs should be relatively short. The system should be reliable and fault-tolerant. Considerations: How would you handle collisions (when two different long URLs map to the same short URL)? How would you design the data store to efficiently handle a large number of URLs? How would you scale the system to handle a large number of requests? What algorithms could be used for generating the short URLs? Discuss the trade-offs. Walk me through the architectural components, data model, and scaling strategies for this URL shortening service. For instance, if a user inputs https://www.example.com/very/long/path/to/resource, the system might generate a short URL like https://short.url/xyz123. When a user visits https://short.url/xyz123, they should be redirected to the original URL.

Arrays

Strings

Database Problems

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Meta

Why did you apply for Facebook?

Behavioral

Let's explore your motivations for applying to Facebook. To give me a comprehensive understanding, please elaborate on the specific factors that attracted you to our company. Consider these points in your answer: Company Mission and Values: How do Facebook's core values and mission align with your personal beliefs and career aspirations? Provide specific examples of Facebook initiatives or projects that resonate with you and explain why. Company Culture: Describe your understanding of Facebook's work culture. What aspects of our culture appeal to you, and how do you believe you would contribute to maintaining and enhancing this environment? For example, have you heard about our emphasis on open communication, rapid iteration, or continuous learning, and how do these resonate with your work style? Specific Opportunities: Are there particular teams, roles, or projects at Facebook that excite you? Detail why you are interested in these specific opportunities and how your skills and experience would be a valuable asset to the team. For instance, are you drawn to our work in AI, VR/AR, or social networking, and what specific projects are you aware of that match your skillset? Growth and Development: What are your long-term career goals, and how do you see Facebook helping you achieve them? Discuss the opportunities for learning, growth, and professional development that you believe Facebook offers and how these align with your aspirations. Impact: What kind of impact do you hope to make at Facebook? Do you want to influence millions of users, solve complex technical challenges, or contribute to innovative products? Explain how you would like to make a difference and why you believe Facebook is the right place for you to do so. By providing a detailed and thoughtful response that covers these areas, you will give me a clear picture of your passion for Facebook and your potential to contribute to our team.

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