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.

At Facebook Reality Labs Research, our goal is to explore, innovate, and design novel interfaces and hardware for virtual, augmented, and mixed reality experiences. We are driving research towards a vision of an always-on augmented reality device that can enable high-quality contextually relevant interactions across a range of complex, dynamic, real-world tasks in natural environments; to achieve this goal, our team draws on methods and knowledge from artificial intelligence, machine learning, computer vision, and human–computer interaction. We are looking for a skilled and motivated researcher with expertise in affective computing, behavioral computing, cognitive science, social robotics, personalized and assistive multimodal machine learning, or related fields to join our team. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.

In this position, you will work with an interdisciplinary team of domain experts in embodied artificial intelligence (AI), human–computer interaction, computer vision, cognitive and perceptual science, and biosensing on problems that contribute to creating human-centered contextual interactive systems. The position will involve leading a research team in pioneering novel approaches for delivering closed-loop optimal assistance for human activities that draw heavily from ‘internal’ affective/emotive/cognitive contextual states, targeting deployment in future augmented reality devices and associated wearable devices. These models will leverage large-scale real-world data sets and the scale of Facebook machine-learning infrastructure, and will be deployed into AR/VR prototypes to uncover research questions on the path to the next era of human-centered computing.

Responsibilities

• Develop and execute a cutting-edge research program with interdisciplinary collaborators aimed at developing closed-loop optimal assistance for human activities that draw heavily from ‘internal’ affective/emotive/cognitive contextual states
• Develop tasks, data-collection strategies, modeling approaches, and evaluation criteria to deliver on research program objectives, with a particular focus on approaches that leverage wearable devices with multimodal biosensors
• Work collaboratively with other research scientists to develop novel solutions and models in service of contextualized AI for augmented reality
• Mentor MS/PhD interns and postdocs and collaborate closely with cross-organizational collaborators and external academic groups to advance our research objectives
  

Minimum Qualification

• PhD degree in computer science, artificial intelligence, machine learning, control theory, or related technical field
• Demonstrated track record in defining and leading research in affective and behavioral computing, including estimation, recognition, and forecasting of affect, health, and/or wellbeing
• Demonstrated experience with methods and algorithms from sequential decision making, including those arising in optimal control, dynamic programming, reinforcement learning, or related areas
• 3+ years of experience in leading research teams, including mentorship and management of PhD students, postdocs, and research staff
• 3+ years of experience in at least one deep-learning software library (e.g., PyTorch, Caffe2, TensorFlow, Keras, Chainer). This experience should include formulation, training, and evaluation of new algorithms and writing reusable Python modules
• Interpersonal experience: cross-group and cross-culture collaboration
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  

Preferred Qualification

• Demonstrated experience conducting research that leverages multimodal data collected from wearable devices
• Demonstrated experience leading a team of researchers toward executing on a complex technical goal in a cross-functional setting
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ECCV/ICCV, ICCP, ICML, 3DV, BMVC, or SIGGRAPH
• Familiarity with ideas from few-shot learning, multimodal representation learning, transfer learning, and recommender systems
  

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.