Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
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: MetaDescript
San Francisco, CA, United States
Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In October 2020, we took a huge leap forward by launching a cloud based collaborative video editor and a screen recorder. We have built and shipped some key technologies like voice cloning, one-click speech enhancement, etc. to help us realiz
Job Source: DescriptMicrosoft
San Francisco, CA, United States
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end,
Job Source: MicrosoftAcousticalsociety
San Francisco, CA, United States
Otolaryngology Scientist/Clinician-Scientist Leader University of California-San Francisco Otolaryngology Scientist/Clinician-Scientist Leader – Epstein Lab for Auditory Physiology & Genetics The Department of Otolaryngology-Head and Neck Surgery is seeking a leader for the Saul and Ida Epstein Laboratory for Auditory Physiology and Genetics. T
Job Source: AcousticalsocietyAmazon
San Francisco, CA, United States
Description The People eXperience and Technology (PXT) Central Science Team uses science, engineering and working-backwards thinking to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon as well as Amazonians’ lives, wellbeing, and value of work. We are an interdisciplinary team which combines th
Job Source: AmazonAmazon
San Francisco, CA, United States
Description The People eXperience and Technology (PXT) Central Science Team uses science, engineering and working-backwards thinking to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon as well as Amazonians’ lives, wellbeing, and value of work. We are an interdisciplinary team which combines t
Job Source: AmazonCoactive AI
San Francisco, CA, United States
Applied Machine Learning Research Scientist Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liabilit
Job Source: Coactive AIGreylock
San Francisco, CA, United States
A growth-stage investment of ours is looking to hire a Sr. Research Engineer with a strong background in NLP and Deep Learning (LLM exp strongly desired). Qualifications: 5+ years industry experience in NLP with a strong academic foundation (PhD in Computer Science or related field preferred) Good coding skills and hands-on exp with modern ML fra
Job Source: GreylockSan Francisco
**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 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 (PhD) 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.
6. Actively identify new opportunities within Meta's long term roadmap for data science contributions.
**Minimum Qualifications:**
Minimum Qualifications:
7. Currently has or is in the process of obtaining a PhD in the field of Computer Science, Statistics, Operations Research, or a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
8. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
9. Experience with empirical research and for answering questions with data.
10. Experience developing algorithms in languages like Python, C, C++ or Java.
11. Experience analyzing datasets using languages like Python or R.
12. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
**Preferred Qualifications:**
Preferred Qualifications:
13. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
14. Experience working and communicating cross functionally in a team environment.
15. Experience analyzing large datasets using tools like Presto, Hive or Spark.
16. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as KDD, EC, ICML, NeurIPS, or similar.
**Public Compensation:**
$56.25/hour to $173,000/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 (PhD)_ jobs in San Francisco
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.