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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Meta FAIR - Research Engineer, Responsible AI / AI Safety in San Francisco, California

Summary:

Meta is seeking a Research Engineer to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. Individuals in this role are expected to be experts in responsible AI, AI ethics and/or AI safety. Candidates should have a keen interest in measuring and mitigating social biases in ML-based models.

Required Skills:

FAIR - Research Engineer, Responsible AI / AI Safety Responsibilities:

  1. Perform research to advance the science and technology of intelligent machines.

  2. Develop highly scalable algorithms based on machine learning and neural network methodologies.

  3. Collaborate with FAIR scientists on novel research measuring and mitigating social biases in generative models for language and/or vision.

  4. Apply knowledge of relevant research domains along with expert coding skills to system and framework development projects.

Minimum Qualifications:

Minimum Qualifications:

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

  2. Masters Degree in computer science or related field, or equivalent practical experience.

  3. 3 or more years experience with responsible AI in the topic areas of NLP and/or CV.

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

  5. Experience in analyzing and collecting data from various sources.

Preferred Qualifications:

Preferred Qualifications:

  1. PhD in computer science or related field, or equivalent practical experience.

  2. Industry research experience in generative AI and LLM research.

  3. First-authored publications at peer-reviewed conferences, such as ACL, EMNLP, ICML, NeurIPS, ICLR, ACM FAccT and other similar venues.

  4. Software engineer experience demonstrated via work experience.

  5. High performance code and profiling experience.

Public Compensation:

$146,994/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 accommodations-ext@fb.com.

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