• Research Scientist, Machine Learning (PhD)

    Meta (Menlo Park, CA)


    Summary:

    Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.

    Required Skills:

    Research Scientist, Machine Learning (PhD) Responsibilities:

    1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences

    2. Implement custom user interfaces using latest programming techniques and technologies

    3. Develop reusable software components for interfacing with back-end platforms

    4. Analyze and optimize code for quality, efficiency, and performance

    5. Lead complex technical or product efforts and provide technical guidance to peers

    6. Architect efficient and scalable systems that drive complex applications

    7. Identify and resolve performance and scalability issues

    8. Work on a variety of coding languages and technologies

    9. Establish ownership of components, features, or systems with expert end-to-end understanding

    Minimum Qualifications:

    Minimum Qualifications:

    10. Currently 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

    11. 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language

    12. Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships

    13. Experience building maintainable and testable code bases, including API design and unit testing techniques

    Preferred Qualifications:

    Preferred Qualifications:

    14. Experience with programming languages such as Python, R, MATLAB

    15. Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)

    16. Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR or similar

    17. Exposure to architectural patterns of large scale software applications

    18. Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields

    19. Interpersonal experience working and communicating cross functionally in a team environment

    20. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

    Public Compensation:

    $56.25/hour to $173,000/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 [email protected].