Facebook Data Scientist, AI Assistant in Menlo Park, California
The AR/VR organization works on building the next generation of tools that make people feel more connected. AI Assistant organization is part of AR/VR and is redefining the Assistant domain by incorporating social connections within various products at FB including AR/VR products. We build AI technology stack that acts as a central nervous system that interacts with users through various products such as Messenger and Portal. At this point, we use voice and text data to interpret the user intent however we are working towards incorporating multi-model data such as sound, texture etc. to understand user intent more accurately.
Our tech stack includes automated speech recognition (ASR), text to speech (TTS), natural language understanding (NLU), natural language generation (NLG), dialog manager and a knowledge graph with millions of entities that is growing every day. Come work alongside expert software engineers and research scientists to empower the technology that makes AI Assistant pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world.
As a Data Scientist on the AI Assistant Analytics team, you'll help us bring AI Assistant to the masses. This is an exciting opportunity to help develop the next big computing platform. You'll work closely with engineers, designers, UX researchers, product managers to help us to track and understand user engagement with our platform as well as build the core metrics to evaluate the performance of each component in ML stack and find opportunities to improve it. The ideal candidate enjoys working with cross-functional teams, is highly analytical and enjoys building consumer products that has deep technology embedded.
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Deep dive into tech stack (ASR, TTS, NLU, NLG) to evaluate the performance and identify opportunities to improve the tech stack.
Identify, analyze, and interpret trends or patterns in complex data sets.
Apply statistical techniques to understand users and their engagement with the platform.
Make recommendations to business partners based on data trends and analysis.
Work with business partners to ensure collection and logging of data needed to provide insights on user engagement and help drive business decisions.
Degree in Statistics, Mathematics, Computer Science or equivalent experience in a related technical field.
Analytical experience in collecting, organizing, analyzing, and disseminating information.
4+ years experience in performing quantitative analysis.
Experience in SQL or other programming languages.
Experience in at least one scientific computing language such as Python, R, etc.
- Experience in NLP.
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 email@example.com.