We are looking for Machine Learning researchers and applied scientists to join the Auction team in Meta Ads. Auction is the place where demand (advertisers) actually meets supply (users), where the total value of every ad gets computed, allocation decisions get made and prices get decided. The team’s focus in this area includes both algorithm innovations and providing a platform to support auctions for the Family of Apps teams (Instagram, Facebook, etc.). By applying your experience in quantitative methods, you will be empowered to drive impact across the entire Meta Ads ecosystem from fundamental changes made to the auction. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, auctions and mechanism design. You will have a passion for building data-driven products and forming research frameworks and mechanism design to solve challenging, real-world problems.
Research Engineer, Systems ML - Auction / Mechanism Design (PhD) Responsibilities:
- Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
- Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
- Work towards long-term ambitious applied research goals, while identifying intermediate milestones.
- Communicate best practices in quantitative analysis to partners.
- Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users.
- Actively identify new opportunities within Meta's long term roadmap.
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 computer science or another ML-related field, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Publications in Machine Learning, AI, computer science, auctions, or related technical fields
- Experience analyzing datasets using languages like Python or R
- Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
- Experience developing algorithms in languages like Python, C, C++ or Java
- Experience analyzing large datasets using tools like Presto, Hive or Spark
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- 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 CLR, NeurIPS, CVPR, ACL, ICML, MLSys, ISCA, MICRO, DAC, WINE, SAGT, EC etc
- Prior research and work experience in auction and mechanism design
- Prior research and work experience in the digital ads industry
- 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 working and communicating cross functionally in a team environment.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
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@fb.com.
$56.25/hour to $173,000/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.
