Applied Scientist, Machine Learning and NLP - Science

Chan Zuckerberg Initiative

Education
Responsibilities
Workhours
 
The Chan Zuckerberg Initiative is dedicated to advancing human potential and promoting equal opportunity through technology, grantmaking, impact investing, policy, and advocacy work. We look for bold ideas — regardless of structure and stage — and help them scale by pairing world-class engineers with subject matter experts to build tools that accelerate the pace of social progress.
 
WHAT WE BELIEVE

We engage directly in the communities we serve because no one understands how to address our society’s challenges better than those who live them everyday. These partners help us identify problems and opportunities, learn fast and iterate toward our audacious goals for the next century. We strive to be humble, empathetic and scrappy life-long learners who work collaboratively to develop community-centered solutions.
 
We believe that high-performing teams include people from different backgrounds and experiences who can challenge each other's assumptions with fresh perspectives. To that end, the Chan Zuckerberg Initiative actively seeks a diverse pool of applicants including those from historically marginalized groups -- women, people with disabilities, people of color, formerly incarcerated people, people who are lesbian, gay, bisexual, transgender, and/or gender nonconforming, first and second generation immigrants, and people from low-income families.
 
THE ROLE

In February 2017, the Chan Zuckerberg Initiative acquired Meta, a company that uses artificial intelligence to help scientists read, understand and prioritize millions of scientific papers as they are published. Meta’s tools can dramatically accelerate scientific progress and will move us closer to our goal to cure, prevent or manage all diseases by the end of the century. Our teams are working together to make the platform even more powerful and useful for the entire scientific community.
 
As an Applied Scientist, you will join our Data team to unlock scientific insights from science and technology publications. Our applied scientists are in charge of designing and evaluating new and improved capabilities in our system. Using state of the art Machine Learning and Natural Language Processing tools, you will tackle problems related to the generation of knowledge graphs and recommendation systems, extraction and disambiguation of scientific elements and relationships, and predictive capabilities.
 
This position is research-focused and requires both a track record of solving related problems in academia or industry, as well as solid coding skills. You will be required to take problems defined by business goals or customers, formulate an approach, collect and transform data, evaluate and iterate on the solutions, and, working closely with Software Engineers, to implement and verify in a production environment.
 
 

Responsibilities

  • Design solutions for processing scientific publications such as author disambiguation, concept recognition, recommendation systems, relationship extraction and more
  • Implement, test, and evaluate solutions following rigorous research methodology
  • Generate detailed requirements and documentation, working closely with software engineers to bring the solutions to production systems
  • Provide reports and ad-hoc analyses, supporting enterprise sales, marketing, and product design
  • Keep up to date with advances in machine learning and natural language processing, as related to the data team’s roadmap

Qualifications

  • M.Sc. minimum, Ph.D. preferred in Computer Science, Math, Statistics, or related fields, with experience in machine learning or natural language processing
  • Excellent communication and organizational skills a must
  • Excellent coding skills in Java, Python, and/or Scala
  • Experience with scikit-learn, Vowpal Wabbit, TensorFlow, GATE, or similar ML/NLP packages
  • Proven track record of solving data driven problems, including problem definition, data exploration, solution proposal, implementation, testing, and evaluation
  • Industry experience a plus
 
 
About the Chan Zuckerberg Initiative
The Chan Zuckerberg Initiative was launched in December 2015 by Mark Zuckerberg, founder and CEO of Facebook, and his wife, Priscilla Chan, a pediatrician and founder and CEO of The Primary School in East Palo Alto. The Chan Zuckerberg Initiative is a new kind of philanthropic organization dedicated to advancing human potential and promoting equal opportunity through world class engineering, grantmaking, impact investing, policy, and advocacy work. Initial areas of focus include supporting science through basic biomedical research and education through personalized learning. CZI is also exploring ways to build stronger, more equitable communities through affordable housing and criminal justice reform. To learn more, visit our Facebook page.
 
 
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Confirmed 3 hours ago. Posted 30+ days ago.

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