Meta Platforms
Senior Machine Learning Engineer
Meta Platforms, Menlo Park, California, United States, 94025
Senior Machine Learning Engineer
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible todaybeyond the constraints of screens, the limits of distance, and even the rules of physics. Responsibilities
Lead a team of engineers to build the recommendation product of Short Videos in Facebook Newsfeed, help them unblock, and advocate for ML excellence. Architect, design, implement, and test large-scale distributed recommendation systems end-to-end (including inventory design, content retrieval, ranking stages, delivery, & ML infra) leveraging artificial intelligence, machine learning, deep learning, reinforcement learning, neural networks, data regression. Develop ML models, ML systems, ML infrastructure and software applications using Python, C++, PHP, Hack, shell scripts, PyTorch, TensorFlow, Spark, Presto. Adapt standard machine learning methods to best exploit modern parallel environments including distributed clusters, multi core SMP, and GPU. Interface with 5+ cross-functional teams and partner teams of data scientists, product managers, frontend engineers, systems/infra engineers to collaborate on and launch cross-organizational projects. Minimum Qualifications
Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science, or related field and 1 year of experience in the job offered or in a computer-related occupation. Requires 1 year of experience in the following: Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems Translating insights into business recommendations Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark Developing and debugging in programming languages: C/C++, Java, Perl, Python, PHP, Haskell, and/or Shell Scripts Relational databases and SQL Linux, UNIX, or other *nix-like OS including file manipulation and simple commands Building highly-scalable performant solutions Distributed systems including sharding, consistency, and availability Data structures and algorithms Developing machine learning ranking models with Two Tower Sparse Neural Networks, Multi-Task Multi-Label Neural Networks, and ID-based Two Tower Models Recommendation and ML technologies including Collaborative Filtering, Maximal Marginal Relevance, and Determinantal Point Processes A/B testing and experimentation analysis $222,772/year to $240,240/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. 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.
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible todaybeyond the constraints of screens, the limits of distance, and even the rules of physics. Responsibilities
Lead a team of engineers to build the recommendation product of Short Videos in Facebook Newsfeed, help them unblock, and advocate for ML excellence. Architect, design, implement, and test large-scale distributed recommendation systems end-to-end (including inventory design, content retrieval, ranking stages, delivery, & ML infra) leveraging artificial intelligence, machine learning, deep learning, reinforcement learning, neural networks, data regression. Develop ML models, ML systems, ML infrastructure and software applications using Python, C++, PHP, Hack, shell scripts, PyTorch, TensorFlow, Spark, Presto. Adapt standard machine learning methods to best exploit modern parallel environments including distributed clusters, multi core SMP, and GPU. Interface with 5+ cross-functional teams and partner teams of data scientists, product managers, frontend engineers, systems/infra engineers to collaborate on and launch cross-organizational projects. Minimum Qualifications
Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science, or related field and 1 year of experience in the job offered or in a computer-related occupation. Requires 1 year of experience in the following: Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems Translating insights into business recommendations Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark Developing and debugging in programming languages: C/C++, Java, Perl, Python, PHP, Haskell, and/or Shell Scripts Relational databases and SQL Linux, UNIX, or other *nix-like OS including file manipulation and simple commands Building highly-scalable performant solutions Distributed systems including sharding, consistency, and availability Data structures and algorithms Developing machine learning ranking models with Two Tower Sparse Neural Networks, Multi-Task Multi-Label Neural Networks, and ID-based Two Tower Models Recommendation and ML technologies including Collaborative Filtering, Maximal Marginal Relevance, and Determinantal Point Processes A/B testing and experimentation analysis $222,772/year to $240,240/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. 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.