Job Description

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 Reality Labs is looking for talented researcher to help create the next generation of virtual and augmented reality. Our research focuses on developing comprehensive solutions to complex tracking problems, delivering novel technologies and algorithms fundamental to future VR and AR systems. You’ll have the unique opportunity to work with industry-leading researchers and engineers who are defining the future of VR and AR.As an Applied Machine Learning Research Scientist, you will bring to bear cutting edge ideas from machine learning to advance eye tracking research initiatives from paper analysis to full proof-of-concept platforms. We welcome candidates who strive for a deep understanding of complex systems and who harbor a strong desire to push beyond state-of-the-art. The ideal candidate is a passionate coder and self-starter who is capable of driving new research initiatives from ground up, from hypothesis formulation to simulation and/or data collection to developing a proof-of-principle working solution and effectively communicating research findings to a diverse audience of inter-disciplinary researchers and product partners.

Responsibilities

• Identify relevant cutting edge research advances in machine learning/computer vision to solve open research problems in eye tracking technology development and applications
• Research, model, design, and/or build proof-of-principle algorithmic solutions to improve state-of-the art in eye-tracking
• Collaborate with researchers and engineers across diverse disciplines
• Communication and documentation of research agenda, progress and results
  

Minimum Qualification

• PhD degree in Computer Science, Applied Math, Physics or a related STEM field
• Proven track record of achieving results as demonstrated in accepted papers at top computer vision, machine learning or scientific computing conferences such as NeurIPS, ICML, ICPR, CVPR, and journals such as JMLR, IEEE Trans., Neural Computation
• 2+ years of experience working in industry research environment working on applied machine learning problems
• 4+ years of experience working with statistical data analysis packages such as Pandas, Scikit-learn, SciPy
• 4+ years of experience with deep learning model development tools such as Pytorch/TensorFlow
• 5+ years experience with Python
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  

Preferred Qualification

• Familiarity with advanced topics in deep learning including generative models such as GANs/VAEs, Bayesian learning, and recurrent neural networks
• Demonstrated experience with good software engineering practices such as code review and code documentation
• High levels of creativity and quick problem solving capabilities
• Interpersonal skills: cross-group and cross-culture collaboration
  

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.