Research Scientist - Central Applied Science

Meta Platforms Inc

Menlo Park, CA

JOB DETAILS
SKILLS
Algorithms, Apiary/Beekeeping, Artificial Intelligence (AI), Best Practices, Business Growth, Business Skills, C Programming Language, C++ Programming Language, Computer Engineering, Computer Science, Computer Skills, Data Science, Data Sets, Deep Learning, Emerging Technology, Facebook, Java, Machine Learning, Machine Tool, Operations Research, Problem Solving Skills, Publications, Python Programming/Scripting Language, Quantitative Analysis, Research & Development (R&D), Risk Analysis, Sales Prospecting, Scientific Research, Statistics, Training Data Sets, Virtual Reality
LOCATION
Menlo Park, CA
POSTED
1 day ago

We're looking for applied scientists with substantial industry experience to join the Central Applied Science team. Central Applied Science is home to experts from many scientific fields, partnering across the company to deliver engineering systems that bring research and innovation to fundamentally contribute to Meta's success.

You will be empowered to leverage your expertise and drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to perform well in a research engineering capacity and hold publications within research areas including artificial intelligence, machine learning, statistics, operations research, causal inference and experimentation. Experience building data-driven products and forming research frameworks to solve challenging, real-world problems.Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products which impact the business Develop novel quantitative methods on top of Meta's unparalleled data infrastructure Work towards long-term ambitious research goals, while identifying intermediate milestones Communicate best practices in quantitative analysis to partners Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users Actively identify new opportunities for scientific tooling and systems to yield outsized impact, in line with Central Applied Science's role and mission within MetaBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in computer science, statistics, operations research or a related field 4+ years of industry experience in an applied R&D capacity or similar function Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields Experience analyzing datasets using languages such as Python Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn Experience developing algorithms in languages such as Python, C, C++ or Java Experience analyzing large datasets using tools such as Presto, Hive or Spark Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Track record of building end-to-end systems which bring science and engineering to solve critical business problems Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Engagement with leaders to drive decision-making based on a thorough understanding of science and business constraintsMeta 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 today-beyond the constraints of screens, the limits of distance, and even the rules of physics.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 .

About the Company

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Meta Platforms Inc