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Research Scientist, Machine Learning (PhD)

Meta
Menlo, CA Full Time
POSTED ON 1/7/2024 CLOSED ON 1/27/2024

What are the responsibilities and job description for the Research Scientist, Machine Learning (PhD) position at Meta?

At Meta, we use machine learning across a diverse set of applications to help people discover better content more quickly, and to connect with the things that matter most to them. We strive to find ways to deliver more engaging content in News Feed, rank search results more accurately, and present the most relevant ads possible.In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Facebook's research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.As a Research Scientist at Meta, you will help build machine learning systems behind Meta's products, create web applications that reach millions of people, build high volume servers and be a part of a team that’s working to help connect people around the globe.


Research Scientist, Machine Learning (PhD) Responsibilities:

  • Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
  • Suggest, collect and synthesize requirements and create effective feature roadmap
  • Code deliverables in tandem with the engineering team
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
  • Perform specific responsibilities which vary by team



Minimum Qualifications:

  • Must be available to start employment on or before December 31, 2023
  • Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Machine Learning or similar
  • Research and/or work experience in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision
  • Experience in systems software or algorithms
  • Knowledge in Java or C , Perl, PHP or Python
  • Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • 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:

  • Interpersonal experience: cross-group and cross-culture collaboration





Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law

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