Research Engineer - Core ML - FB Search Team
Menlo Park, CA
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Meta
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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.Research Engineer - Core ML - FB Search Team Responsibilities
$70.67/hour to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
- 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
- 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
- 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
$70.67/hour to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Categories:
Engineering Jobs
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Tags: Computer Science Core ML Deep Learning Engineering GPU ICLR ICML LLMs Machine Learning ML models NeurIPS NLP PhD Physics Python PyTorch Reinforcement Learning Research VR
Perks/benefits: Career development Conferences Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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