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Facebook Applied Research Manager, Enterprise Products in Pierre, South Dakota


Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


Facebook's Enterprise Engineering team develops and maintains scalable products that power the enterprise. Enterprise Product Applied Research team is composed of applied quantitative and computational experts using machine learning, statistics and operations research to bring in step-level improvements in efficiency and scalability across the entire suite of enterprise products. We’re looking for an Applied Research Manager to lead a team of highly skilled Applied Research Scientists. This team plays a key role in reimagining productivity by applying state of the art research to bring step level improvements to diverse aspects of the enterprise. You will be working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights deliver impact for one of the largest enterprises in the world. The perfect candidate will have a background in machine learning, applied statistics or a related technical field, will have experience working with large data sets, and will have some experience building software. You are scrappy, focused on results, a self-starter, and have demonstrated success in using applied research to drive impact for large organizations.

Required Skills:

  1. Lead highly skilled research scientists, providing mentorship and career guidance to members of the team

  2. Apply your expertise in machine learning, data mining, quantitative analysis, experimentation and the presentation of data to build ML, AI and Optimization capabilities in Enterprise Products

  3. Partner with engineering teams to solve problems and identify trends and opportunities

  4. Design and prototype new algorithms, optimization methods, and system architectures and get hands-on in implementation and development work of the projects

  5. Manage development of data resources, gather requirements, organize sources, and support product launches

  6. Build cross-functional relationships with Engineering, Product and Analytics teams to shape long-term roadmaps with a balance of scientific rigor and strategic considerations

Minimum Qualifications:

  1. Ph.D. or Masters degree in quantitative field (e.g. computer science, engineering, operations research, electrical engineering, statistics, mathematics and related fields)

  2. 4+ years of industry experience in an applied research organization within relevant fields

  3. 2+ years of leadership experience for applied research teams

  4. Experience in initiating and driving projects to completion with minimal guidance

  5. Experience with communicating results or work and establishing confidence among audiences who do not share your disciplinary background or training

  6. Understanding of modern machine learning techniques and their mathematical underpinning

Preferred Qualifications:

  1. Experience working with large data sets and distributed computing (Hadoop, Hive, Spark, etc.)

  2. Experience in object oriented programming such as Python, C++, Java

  3. Experience using deep learning, natural language processing or computer vision in a production environment

  4. 2+ years of tech lead management experience in a highly technical and/or applied research team

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.