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Meta is seeking a Research Scientist to join our Ads Training Performance Team within the Monetization organization, a group focused on making a significant impact in AI by building next generation ML infra. We are responsible for the infrastructure that trains models that power the ranking and recommendation system for ads served in Meta. The ideal candidate will have a keen interest in producing new ML Infra solutions to improve model training including training performance through GPU optimizations.
Research Scientist, ML Training Infra Responsibilities
- Develop highly scalable and performant ML Infra.
- Collaborate with Research Scientists on novel research in modeling and complex systems.
- Apply knowledge of relevant research domains and coding skills to platform and framework development projects.
- Mentor other team members. Arbitrate in cases of technical disagreement among team members. Play a significant role to have a healthy cross-functional collaboration.
Minimum Qualifications
- 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.
- Currently has or is in the process of obtaining a PhD in the field of Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, or related technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience with research and building infra for Machine Learning.
- Experience with Python, C++, Java, or other related languages.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
- Experience solving analytical problems using quantitative approaches.
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Experience with developing Machine Learning Infra at scale from inception to business impact.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) or similar.
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open-source repositories (e.g. GitHub).
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross functionally in a team environment.
Locations
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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$117,000/year to $173,000/year + bonus + equity + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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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 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.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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