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Inari Agriculture is hiring an

AI/Data Science PhD Intern

Cambridge, United States
Internship

About Inari...

Inari is the SEEDesign™ company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation – to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.

Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.

We have over 270 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We’ve deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet’s natural resources, we’d love to hear from you!

 

About the role... 

Inari is looking for an Artificial Intelligence/Data Science intern to work in our Cambridge, MA location, starting May 15 – June 5 and ending August 11. 

 

As an AI Intern at Inari, you will: 

  • Work with your mentor to triage potential projects and pick the most viable and interesting one 
  • Partner with Data Scientists, Plant Geneticists, Plant Breeders, and Agronomists to understand the problem at hand and scope the needs and success of the project
  • Handle and process real world data that may not always be picture perfect
  • Explore potential AI modeling/algorithmic solutions and select the best candidates, then implement, train, and test the models to determine the highest performers
  • Gain experience productizing AI models that integrate with and extend our genomic or agronomic data platforms
  • Develop tools to enable our science and/or product teams to make decisions  in their day-to-day responsibilities
  • Gain experience working in a cloud environment with containerized workflows 

 

You bring… 

  • Open to current PhD students in Computer Science or related field 
  • Research experience in AI, ML, or Data Science methods 
  • Ability to digest research papers and discuss research directions
  • Strong knowledge of Python and associated AI scientific computing packages
  • Hands-on experience applying ML algorithms, ideally in agriculture or life sciences
  • Ability to work and learn independently
  • Willingness to be bold and take risks
  • Openness to giving and receiving ideas, perspectives, and feedback across multiple teams
  • A curiosity about agriculture and biology; familiarity with multi-omics data and/or agricultural data is a plus 

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