MINIMUM QUALIFICATIONS

• 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.
• 1+ year(s) of work experience in a university, industry, or government lab with emphasis on AI Research in speech recognition, speech synthesis, natural language understanding, machine learning, deep learning, or related fields.
• 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.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

PREFERRED QUALIFICATIONS

• 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.
• 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 taking ideas from research to production.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
• Experience working and communicating cross functionally in a team environment
  For those who live in or expect to work from California if hired for this position.

• 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.