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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 Research Engineer in Menlo Park, California

Summary:

Meta is seeking Research Engineers to join FAIR, our world-class research lab. We are seeking individuals to work with our AI for Compiler Optimisation team to build novel algorithms that enable compilers to better optimise code and scale them to work on large enterprise code bases. Our research spans language models and novel model architectures and all aspects of compilers and auto-tuning. The candidate should have a solid background in machine learning and compilers, with experience in building and managing complex machine learning pipelines at scale.

Required Skills:

Research Engineer Responsibilities:

  1. Develop novel algorithms and techniques for compiler and systems optimisation using machine learning.

  2. Generate and curate novel datasets for training over compiler optimisation problems.

  3. Collaborate with other researchers and engineers to develop and implement new features and improvements.

  4. Collaborate on building demos to illustrate scientific breakthroughs.

Minimum Qualifications:

Minimum Qualifications:

  1. Effective programming skills (Python, C++)

  2. Currently has, or is in the process of obtaining, a Masters degree with relevant research experience in Computer Science or related fields.

  3. Solid background on the foundations of machine learning and reinforcement learning.

  4. Experience in working on AI for compilers.

  5. Experience collaborating within a research team to solve complex problems.

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

Preferred Qualifications:

Preferred Qualifications:

  1. Lead-authored publications at peer-reviewed conferences (e.g. NeurIPS, ICLR, CVPR, CGO, PLDI or similar)

  2. Currently has, or is in the process of obtaining, a PhD degree in Computer Science or related fields.

  3. Demonstrated machine learning experience in one of the following: internship, open-source activity, data science competitions

  4. Experience in creating high-performance implementations in deep learning frameworks (such as pytorch, tensorflow)

  5. Experience of building compiler optimisations.

Public Compensation:

$146,994/year to $208,000/year + 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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