We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations.
Research Scientist, Central Applied Science Responsibilities:
- Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data based products
- Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
- Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
- Communicate best practices in quantitative analysis to partners
- Work collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
- Proactively identify, scope and implement innovative solutions with well defined intermediate milestones
- Actively identify new opportunities within Meta's long term roadmap for applied science contributions
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Currently holds a PhD in the field of Operations Research, Computer Science, or a related field
- At least 3 years of industry experience as an applied research scientist or a similar role
- Experience with empirical research and for answering questions with data
- Experience developing algorithms in languages like Python, C, C++ or Java
- Experience analyzing datasets using languages like Python
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
- Experience with large scale distributed AI training and inference
- Experience working and communicating cross functionally in a team environment
- Experience analyzing large datasets using tools like Presto, Hive or Spark
- Proven track record of publications at leading journals or conferences such as ICML, NeurIPS, ICLR, IJCAI, AAAI, KDD, WWW, JMLR, JACM, MLSys or similar
- Experience with solving large-scale combinatorial optimization problems
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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, 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta 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@meta.com.
$74.04/hour to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
