Research Scientist, NLP

New York, NY, United States

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Posted 6 days ago

--COVID-19 Hiring Update-- Dataminr is still actively hiring. As the health and safety of our candidates and our employees come first,  we're excited to provide virtual experiences for interviews and new hire on-boarding. This is an office-based role, but we will provide all the necessary support to work remotely until our offices reopen. 

 

Who we are:

We are Dataminr. We are a mission-driven company committed to the power of AI, public data, and real-time information as a force for good in the world. Over the last decade, our team has established and refined the leading AI platform for real-time event and risk detection. We surface the earliest signals of unfolding events and emerging risks within an increasingly diverse and complex landscape of publicly available information, enabling more effective risk mitigation strategies, faster response, and better crisis management. Dataminr serves thousands of professionals in 70+ countries by delivering timely, relevant, and actionable alerts to public and private sector organizations around the world.

We’ve grown to over 500 talented employees across seven global offices and raised $392 million in funding in our most recent investment round. Our culture promotes cross-team interaction, work-life balance and the sharing of information and ideas because it enables us to do our best work together, make a meaningful contribution, and have fun. Join us and help the world manage risk in real time.

Who you are:

You’re a research scientist who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator.  

Responsibilities

  • Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning.
  • Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). 
  • Contribute to the research community via publications in top tier venues, participation in program committees, etc.
  • Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
  • Productionize and ship research into Dataminr’s products, and thus to its users worldwide.
  • Senior candidates are expected to lead technical areas and/or people.


Minimum qualifications

  • Ph.D. in Computer Science or related field
  • Experience in one or more of the following topics: generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. 
  • Outstanding publication record (ACL, TACL, EMNLP, AAAI, NeurIPS, WWW, etc.).
  • Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. 
  • Experience in Python, Java, Scala, Python, or similar languages.
  • Experience with machine learning and deep learning tools (TensorFlow, PyTorch, Scikit-learn, etc)
  • Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships).

 

Note: For this role, only candidates with Ph.D.s in the areas above will be considered. If you do not meet that requirement please consider either the Data Scientist or other positions.

 

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

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Job tags: AI Deep Learning Java Machine Learning NLP Python PyTorch Research Scala Scikit-Learn TensorFlow
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