Meta Platforms
Research Engineer - Core ML - FB Search Team
Meta Platforms, Menlo Park, California, United States, 94025
Research Engineer - Core ML - FB Search Team
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. 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 Work with a large and globally distributed team Contribute to publications and open-sourcing efforts 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
Direct experience in Search / Recommendations First author publications at peer-reviewed AI conferences 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. 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. 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.
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. 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 Work with a large and globally distributed team Contribute to publications and open-sourcing efforts 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
Direct experience in Search / Recommendations First author publications at peer-reviewed AI conferences 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. 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. 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.