Compensation: $192,290.00 - $192,290.00 /year *
Employment Type: Full-Time
Industry: Information Technology
**Intro:** 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. **Summary:** With over 2.1 billion people, our community is growing rapidly, and at this scale we cannot fulfill our mission without cutting edge AI systems that operate at unprecedented scale. Facebook's AML PMs work with industry's leading researchers, engineers, designers, and data scientists to build deeper and richer understanding of all content and people across Facebook's family of apps. And apply this understanding to solve the company's hardest problems including showing more relevant content and ads on Facebook and Instagram, keeping people safe by reducing misinformation and hateful content, and powering Facebook's latest VR/AR products. If you're passionate about driving the next set of AI breakthroughs that will make people lives better, we want to talk to you. **Required Skills:** 1. Build the vision, strategy, and roadmap of AI big-bets that Facebook should invest in to drive step change impact for our products. 2. Shape the direction of Facebook's core products by applying cutting edge AI innovations to tackle people problems such as reducing integrity issues, making content and ads more relevant, and improving search amongst many others. 3. Build new AI technologies, services, and platforms for areas such as computer vision, NLP, speech/audio, and personalization that operate at Facebook scale and power all Facebook products. 4. Accelerate time to impact for new technologies through experimentation, prototyping and strong execution. 5. Have a clear pulse on innovations across the broader AI community and help us identify new opportunities and look around corners. 6. Identify and track key success metrics for all of your products. 7. Be world class with running conclusive experiments quickly to validate hypotheses. **Minimum Qualifications:** 8. Experiences in applying ML technologies such as computer vision, NLP, speech/audio, knowledge of products or building personalized experiences. 9. Communication experience with experience conveying technical topics to the audience. 10. Execution experience to drive multiple projects. 11. Strategic thinker who can help craft plans to multiple stakeholders. 12. Collaboration experience. **Preferred Qualifications:** 13. Experience developing social products, technologies, and platforms 14. Experience building new AI/ML technologies 15. Bachelors Degree **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 ...@fb.com.
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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