FAIR - Research Engineer, Responsible AI / AI Safety

Meta Platforms, Inc.

Seattle (WA)

On-site

USD 146,994 - 208,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Equity
Bonus

Job summary

Meta Platforms, Inc. is looking for a Research Engineer to join the FAIR Team in Seattle. This position involves advancing AI research, focusing on responsible AI, ethics, and safety. Responsibilities include developing algorithms and collaborating on novel research.

Qualifications include a bachelor's degree in a relevant field, experience in AI, and strong coding skills. The compensation range is $146,994 to $208,000 annually, plus bonuses and equity. Apply if you are keen on mitigating biases in ML models!

Qualifications

  • 3+ years experience with responsible AI in NLP and/or CV.
  • Experience analyzing and collecting data from various sources.
  • Software engineering experience demonstrated via work.

Responsibilities

  • Perform research to advance the science and technology of intelligent machines.
  • Develop scalable algorithms based on machine learning.
  • Collaborate with FAIR scientists on measuring and mitigating biases.

Skills

Responsible AI
AI ethics
AI safety
Machine Learning
Neural Networks
Data Analysis

Education

Bachelor's degree in Computer Science or related field
Master's Degree in Computer Science or related field
PhD in Computer Science or related field

Job description

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.

Responsibilities
  • Perform research to advance the science and technology of intelligent machines.
  • Develop highly scalable algorithms based on machine learning and neural network methodologies.
  • Collaborate with FAIR scientists on novel research measuring and mitigating social biases in generative models for language and/or vision.
  • Apply knowledge of relevant research domains along with expert coding skills to system and framework development projects.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Masters Degree in computer science or related field, or equivalent practical experience.
  • 3 or more years experience with responsible AI in the topic areas of NLP and/or CV.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Experience in analyzing and collecting data from various sources.
Preferred Qualifications
  • PhD in computer science or related field, or equivalent practical experience.
  • Industry research experience in generative AI and LLM research.
  • First-authored publications at peer-reviewed conferences, such as ACL, EMNLP, ICML, NeurIPS, ICLR, ACM FAccT and other similar venues.
  • Software engineer experience demonstrated via work experience.
  • High performance code and profiling experience.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$146,994/year to $208,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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