Meta
Research Engineer - Core ML - FB Search Team
Meta, Menlo Park, California, United States, 94029
Summary:
Meta is seeking a Research ML engineer to join our Facebook Search team. We are part of a multi-year investment in a modern search experience across Instagram & Facebook that is complementary to our recommendation strategy. We are building search systems on a foundation of state-of-the-art AI technology, and re-engineering core components of Search like query and document understanding; query suggestions / autocomplete; building, fine tuning and distilling Large Language Models; and reinforcement learning for language model tuning.
Required Skills:
Research Engineer - Core ML - FB Search Team Responsibilities:
Design methods, tools, and infrastructure to push forward the state of the art in search and recommendation models
Define research goals informed by long-term product roadmaps
Contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Work with a large and globally distributed team
Contribute to publications and open-sourcing efforts
Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Research experience in machine learning, deep learning, and/or natural language processing
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Experience with architectural patterns of large scale software applications
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications: Preferred Qualifications: Direct experience in Search / Recommendations
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
A PhD in AI, computer science, data science, or related technical fields
Public Compensation: $70.67/hour 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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Define research goals informed by long-term product roadmaps
Contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Work with a large and globally distributed team
Contribute to publications and open-sourcing efforts
Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Research experience in machine learning, deep learning, and/or natural language processing
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Experience with architectural patterns of large scale software applications
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications: Preferred Qualifications: Direct experience in Search / Recommendations
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
A PhD in AI, computer science, data science, or related technical fields
Public Compensation: $70.67/hour 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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