Software Engineer
Gro Intelligence
(55 Washington Ave)Gro Intelligence deciphers data through computational and visualization tools that enable global food security.
Gro Intelligence is at an exciting time of hyper-growth with our US headquarters in New York City and international headquarters in Nairobi, Kenya. Our global team is smart, hard working, ambitious—and growing! We’re looking for outstanding and collaborative leaders to join our engineering team.
We are hiring an experienced Software Engineer to join our US headquarters in New York City to:
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Develop original computational models to predict agricultural and environmental performance and conditions using geospatial, weather, crop, trade, and pricing data.
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Develop systems and techniques for very large scale computations
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Work with scientists, analysts and engineers to integrate local and sector specific factors and work closely with specialists in the field to further internal product development and external collaborations
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Do original research on machine learning models and algorithms, working with closely with research scientists
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Understand and contribute to the advancement of the state of the art in academic and industry research
Skills:
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Experience with “big data” computation (parallel processing, distributed storage)
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Strong computer science fundamental (data structures and algorithms)
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Strong understanding of statistics, mathematics
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Experience with natural language processing
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Ability to work in Python, Java, C++
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Familiarity with statistical modeling tools (R, MatLab)
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Ability to work collaboratively with team members across functional roles and strong communication and leadership skills.
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Passion for solving high impact problems with data driven tools.
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Educational requirements/experience: 3+ years related experience
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Graduate degree in Engineering, Computer Science, Math, Statistics, Physics or related field
Character traits we value:
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Smart, excellent problem solving skills
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Curious, love for turning ideas into reality
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Productive, self motivated
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Creative, collaborative, diligent
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Strong attention to detail with ability to understand the big picture
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Learner, interested in new skills and adapting to new technologies
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Ability to work with geographically distributed and culturally diverse team
Questions
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