Advance the device-driven AI Assistant effort at Meta for wearables by building state-of-the-art LLMs, optimizing them for natural voice interaction on unique hardware, and delivering knowledge-grounded, actionable, personalized AI through a unique voice user interface.
Requirements
- Experience with development and implementation of speech recognition algorithm/ systems and model training, including LLMs
- Experience working with machine learning libraries like Pytorch, Tensorflow, etc
- Familiar with scripting languages such as Python and shell scripts
- Experience with developing scalable machine learning models in at least one of the following areas: automatic speech recognition, speech synthesis, LLM, or relevant areas
- Experience with large scale model training, implementing algorithms, and evaluating speech-based systems
- Experience taking ideas from research to production
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
Responsibilities
- Be a leader in our efforts to understand and synthesize speech, translate between languages, and/ or extract intents, concepts, or other relevant features from speech and link them to downstream tasks
- Independently design and implement algorithms, train state of the art models on large data, and optimize their performance together with our team and partners
- Perform research to tackle unsolved real-world problems and advance state of the art research by developing internal tests and mapping them to external benchmarks
- Develop machine learning models for both server-based and embedded systems
- Contribute research that can be applied to Meta product development. Publish it
Other
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Has PhD in the field of Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta
- 2+ year(s) of work experience on AI Research in speech recognition, speech synthesis, natural language understanding, machine learning, deep learning, or related fields
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals or conferences such as ICASSP, INTERSPEECH, NeurIPS, ICML, ICLR, or similar
- Experience working and communicating cross functionally in a team environment
