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Meta Research Engineer, AI (PhD) in Topeka, Kansas


Meta is seeking a Research Engineer to join the Capacity Engineering & Analysis team to focus on site-wide performance and capacity projects. This person would be required to work cross-functionally with a number of teams to ensure optimal operation and growth of our computing resources from both a cost and technology perspective. Tens of billions of user requests, hundreds of petabytes of data, thousands of giga bps of network flow. Help build one of the largest Internet services in the world!

Required Skills:

Research Engineer, AI (PhD) Responsibilities:

  1. Scale the largest web capacity in the world.

  2. Work with AI Engineering, Product Engineering, Infrastructure Engineering, and Data Engineering teams to find the optimal way to scale the AI infrastructure.

  3. Work on model system co-design for next generation large scale models for recommender systems

  4. solve deep technical problems related to model scalability and model efficiency.

  5. Own end-to-end product design, launch, and operation: Support architecture design, define networking requirements, and help code build from scratch to support new product launch.

  6. Tackle the state-of-the-art hardware performance issues: Analyze and debug difficult server performance issues (latest in industry), identify bottlenecks and optimize product/service performance to improve user experience.

  7. Solve hardest software performance issues: Work with software developers closely to improve code base performance (e.g. algorithm redesign), reduce resource consumption and shorten request latency.

  8. Plan the largest server and data center capacity: Own and drive overall Facebook capacity planning work for all different products/services and recommend DC expansion plan.

  9. Develop coolest tools to monitor billions of user requests: Create monitoring, reporting, data-mining tools to do performance and capacity-related tests and analysis.

  10. Provide deepest visibility to what is going on for all products: Run capacity and performance experiments to determine scaling and utilization parameters for various service tiers.

  11. Own company server budget and track it: Present performance and capacity roadmap for critical project and cost analyses in presentation form monthly to executive teams.

  12. Find the game changers and bring them on: Work with financial analysts, operations and engineering to perform cutting-edge technologies investigation and cost analysis.

  13. A lot of other cool work: Identify capacity-related issues proactively and work with systems, network, application operations and engineering teams to discover resolutions.

Minimum Qualifications:

Minimum Qualifications:

  1. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering, Operations Research or other technical field.

  2. 2+ years of experience in coding and scripting languages such as C, C++, C#, Java, PHP, Python.

  3. Experience with GPU technologies like CUDA and performance optimization of GPU kernels for AI Training and Serving.

  4. Experience with Machine Learning and hardware/system co-design for machine learning.

  5. Experience with Deep learning technologies and system implications of Deep Learning.

  6. Analytical, budgeting and planning experience.

  7. Communication skills.

  8. Experience working with cross-functional teams.

  9. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

  10. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications:

Preferred Qualifications:

  1. Experience in performance engineering or capacity engineering.

  2. 2+ years of experience in performance engineering or capacity engineering.

  3. Experience in MySQL.

  4. Experience with Hadoop/MapReduce.

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.