Research Engineer, Speech & Language - Generative AI

Facebook; Bellevue (WA); On-site; USD 8,000 - 251,000; Full time

Job summary

An established industry player is seeking a Research Engineer to join their innovative GenAI Speech team. This role offers the opportunity to work on cutting-edge speech technologies, leveraging advanced AI and machine learning techniques to enhance product experiences. Candidates will contribute to groundbreaking research in generative AI, develop large-scale models, and design innovative algorithms. If you are passionate about speech and language processing and eager to make a significant impact in the field, this position offers a dynamic environment for growth and creativity.

Qualifications

• Experience in machine learning and large language models.
• Direct experience in generative AI and LLM research.

Responsibilities

• Apply AI techniques to build speech-LLM technology.
• Develop accurate AI algorithms for large scale applications.

Skills

Machine Learning

Speech Processing

Generative AI

Python

PyTorch

C/C++

Education

Bachelor's degree in Computer Science

MSc or PhD in Artificial Intelligence

Tools

PyTorch

Large Scale Models

Job description

**Summary:**

We are looking for a Research Engineer (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, multi-modal, modeling, speech and audio processing, speech recognition, speech synthesis, and multilingual modeling.

**Required Skills:**

Research Engineer, Speech & Language - Generative AI Responsibilities:

1. Apply relevant AI and machine learning techniques to build speech-LLM technology that will improve Meta products and experiences

2. Develop novel, accurate AI algorithms and advanced systems for large scale applications

3. Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results

4. Work with large data, and contribute to development of large scale foundation models

5. Design methods, tools, and infrastructure to push forward the state of the art in large language models.

**Minimum Qualifications:**

Minimum Qualifications:

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

7. Experience in one or more of the following areas: machine learning, large language models, speech and audio processing, speech generation, or related fields.

8. Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++

9. 4+ year(s) of work experience in an industry, university, or government lab

10. Direct experience in generative AI and LLM research.

**Preferred Qualifications:**

Preferred Qualifications:

11. A MSc or PhD in Artificial Intelligence (AI), computer science, or related technical fields.

12. Publication track record at peer-reviewed AI conferences (e.g. e.g., NeurIPS, ICML, ICLR, ICASSP, Interspeech)

13. Experience with large scale model training, implementing algorithms, and evaluating systems

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

15. 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.

**Public Compensation:**

$85.10/hour to $251,000/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].