AI Research Scientist - Speech & Language - Generative AI

The Rundown AI, Inc.; San Francisco (CA); On-site; USD 147,000 - 208,000; Full time

Job summary

A leading company in AI technologies seeks a Research Scientist in Speech and Language for its GenAI Speech team. This role involves ambitious research to enhance speech offerings and improve products. Candidates should possess a PhD and relevant experience in AI, particularly in speech processing and deep learning frameworks.

Benefits

Bonus, equity and comprehensive benefits

Qualifications

• Proven track record in publications at AI & speech conferences.
• Experience in training, fine-tuning foundation models.
• 2+ years of work experience post-PhD in AI research.

Responsibilities

• Work towards long-term ambitious research goals.
• Contribute research applicable to Meta product development.

Skills

Deep learning frameworks (e.g. pytorch, tensorflow)

Communication of complex research

Education

Bachelor's degree in Computer Science, Computer Engineering

PhD degree in Computer Science, Mathematics

Job description

We are looking for a Research Scientist (Speech and Language) to join the GenAI Speech team at Meta. The GenAI Speech team works on speech-LLMs, and leverages knowledge in areas like speech encoders, pre-training, post-training, reinforcement learning, LLM alignment, multimodal modeling, speech and audio processing, speech recognition, speech synthesis, and multilingual modeling.

AI Research Scientist - Speech & Language - Generative AI Responsibilities:

• Work towards long-term ambitious research goals, while identifying intermediate milestones.
• Contribute research that can be applied to Meta product development.
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD degree in Computer Science, Mathematics, or similar quantitative field.
• Proven track record publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP).
• Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
• Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …).
• Experience to communicate complex research for public audiences of peers.
  
  

Preferred Qualifications:

• 2+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research.
• High impact publications at leading AI and speech conferences and journals (e.g. e.g., NeurIPS, ICML, ICLR, ICASSP)
• Experience with interdisciplinary and/or cross-collaboration.
• Experience bringing machine learning-based products from research to production.
• The ideal candidate will have industry experience working on Speech, Language, and LLM related topics and the experience to apply relevant AI and machine learning techniques to build intelligent rich speech & language systems that improve Meta's products and experiences.
• Candidates should have an interest in taking new research findings in this area and implementing them towards product needs.
  
  

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 proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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 [e-mail].

$147,000/year to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.