AI Research Scientist - Speech & Language - Generative AI

AECOM; New York (NY); On-site; USD 147,000 - 208,000; Full time

Job summary

AECOM seeks a Research Scientist (Speech and Language) for the GenAI Speech team, focusing on innovations in speech-LLMs and related fields. The role offers engagement in high-impact research projects, crucial for enhancing Meta's products and experiences, designed for professionals with strong academic backgrounds and industry experience.

Qualifications

• Proven track record in publications at peer-reviewed AI & speech conferences.
• 2+ years of post-PhD experience emphasized on AI research.

Responsibilities

• Work towards long-term research goals and identify milestones.
• Contribute research applicable to Meta product development.

Skills

Experience in training and fine-tuning foundation models

Familiarity with deep learning frameworks

Ability to communicate complex research

Education

Bachelor's degree in Computer Science

PhD degree in Computer Science, Mathematics, or similar

Job description

**Summary:**

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.

**Required Skills:**

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

1. Work towards long-term ambitious research goals, while identifying intermediate milestones.

2. Contribute research that can be applied to Meta product development.

**Minimum Qualifications:**

Minimum Qualifications:

3. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

4. PhD degree in Computer Science, Mathematics, or similar quantitative field.

5. Proven track record publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP).

6. Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.

7. Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …).

8. Experience to communicate complex research for public audiences of peers.

**Preferred Qualifications:**

Preferred Qualifications:

9. 2+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research.

10. High impact publications at leading AI and speech conferences and journals (e.g. e.g., NeurIPS, ICML, ICLR, ICASSP)

11. Experience with interdisciplinary and/or cross-collaboration.

12. Experience bringing machine learning-based products from research to production.

13. 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.

14. Candidates should have an interest in taking new research findings in this area and implementing them towards product needs.

**Public Compensation:**

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

**Industry:** Internet

**Equal Opportunity:**

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].