Software Engineer

Summary:

Meta is seeking Researchers and Engineers to join our Generative AI organizations. Candidates will have industry experience working on LLM related topics and the experience to apply relevant AI and machine learning techniques to build intelligent LLM 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.

Required Skills:

Software Engineer (Technical Leadership) - AI Specialist Responsibilities:

1. Help advance the science and technology of intelligent machines

2. Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short and medium term objectives

3. Influence progress of relevant research communities by producing publications

4. Establish connections with cross-functional partners and contribute research with the goal of applying to Meta's product development

5. Lead and collaborate on research projects within a team

6. Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems

7. Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

Minimum Qualifications:

Minimum Qualifications:

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

9. Experience holding a faculty, industry, or government researcher position

10. Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields

11. Proven track record of recent and consistent publication/citation history

12. Experience leading a team in solving modeling problems using AI/ML approaches

13. Experience in applying research to production problems

14. Experience communicating research for public audiences of peers

15. Experience in developing and debugging in Python, C/C++, or C#

16. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

17. 4+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research

18. 4+ years of experience as technical lead for a project of 4 or more individuals

19. First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI)

20. Experience with interdisciplinary and/or cross-functional collaboration

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

Public Compensation:

$213,000/year to $293,000/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 accommodations-ext@fb.com.