Research Scientist - FAIR Internet & Ecommerce - Menlo Park, CA at Geebo

Research Scientist - FAIR

We are looking for a Research Scientist to join the FAIR team to study speech and text generation, in connection with sequence modeling tasks such as speech recognition, speech synthesis and machine translation. Our team performs foundational AI research across speech, audio, machine translation, video, and EMG. We build AI-powered spoken language technologies to make it faster and easier for people to build community, connect with others around the world, and to create compelling speech, audio and video generative content. Our mission is to develop state of the art algorithms, and we focus on open research and scientific novelty. We work in all aspects of AI for speech and audio processing, including speech recognition, speech synthesis, multimodal translation, etc.
As a Research Scientist, you will help us develop innovative models and algorithms at the cutting edge of AI Research. We are looking for a research scientist with a focus on speech and speech synthesis plus experience on multimodal or audiovisual modeling. The ideal candidate should have a strong background in speech synthesis, multimodal modeling, general machine learning, and have a passion for speech and language technologies.Research Scientist - FAIR ResponsibilitiesPerform research to tackle unsolved real-world problems and push the state of the art in speech and language modeling.Independently design and implement algorithms, train state of the art speech and language models on large data, and evaluate their performance.Minimum QualificationsCurrently 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.Currently has or is in the process of obtaining a PhD in the field of Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.Research experience in one or more of these areas:
speech recognition, speech synthesis, machine translation, audiovisual understanding or generation, machine learning, deep learning, or related fields.Experience working with machine learning libraries like Pytorch, Tensorflow, etc.Knowledge of deep learning and neural networks.Experience 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 QualificationsExperience with developing scalable machine learning models in at least one of the following areas:
speech recognition, machine translation, unsupervised/semi-supervised training, on-device modeling, acoustic modeling, or relevant areas.Experience with developing machine learning models for both server-based and embedded solutions.Experience with large scale model training, implementing algorithms, and evaluating speech and language systems.Proven track record of achieving significant results as demonstrated by publications at leading conferences such as NeurIPS, ICLR, ACL, EMNLP, ICASSP, INTERSPEECH, or similar.Experience working and communicating cross functionally in a team environment.About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $117,000/year to $173,000/year
bonus
equity
benefits Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.Estimated Salary: $20 to $28 per hour based on qualifications.

Don't Be a Victim of Fraud

  • Electronic Scams
  • Home-based jobs
  • Fake Rentals
  • Bad Buyers
  • Non-Existent Merchandise
  • Secondhand Items
  • More...

Don't Be Fooled

The fraudster will send a check to the victim who has accepted a job. The check can be for multiple reasons such as signing bonus, supplies, etc. The victim will be instructed to deposit the check and use the money for any of these reasons and then instructed to send the remaining funds to the fraudster. The check will bounce and the victim is left responsible.