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Meta
Burlingame
**Summary:** We are looking for researchers and applied scientists to join the Core Data Science team. Core Data Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to dr
Job Source: MetaMeta
Menlo Park, CA, United States
We are looking for researchers and applied scientists to join the Core Data Science team. Core Data Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact ac
Job Source: MetaAmazon
Santa Clara
Description AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including
Job Source: AmazonAmazon
Sunnyvale
Description The Campaign Measurement & Optimization (CMO) organization is looking for a Senior Applied Scientist interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this le
Job Source: AmazonMeta
Menlo Park
**Summary:** We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be emp
Job Source: MetaMeta Platforms, Inc.
Menlo Park, CA, United States
We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to dri
Job Source: Meta Platforms, Inc.Amazon
Santa Clara
Description AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including
Job Source: AmazonAmazon
Santa Clara
Description AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including
Job Source: AmazonMenlo Park
**Summary:**
We are looking for researchers and applied scientists to join the Core Data Science team. Core Data Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
**Required Skills:**
Research Scientist - Central Applied Science Responsibilities:
1. Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
2. Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
3. Work towards long-term ambitious research goals, while identifying intermediate milestones.
4. Communicate best practices in quantitative analysis to partners.
5. Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users.
6. Actively identify new opportunities within Meta's long term roadmap for data science contributions.
**Minimum Qualifications:**
Minimum Qualifications:
7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
8. MS degree with 4+ years of relevant experience, or PhD in computer science, statistics or a related field
9. Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields
10. Experience analyzing datasets using languages like Python or R
11. Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
12. Experience developing algorithms in languages like Python, C, C++ or Java
13. Experience analyzing large datasets using tools like Presto, Hive or Spark
14. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
**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 [email protected].
Email Alert for Research Scientist - Central Applied Science_ jobs in Menlo Park
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