Software Engineer - ML (Machine Learning Engineer)

About Gro:

Gro Intelligence is tackling two of the biggest problems facing the world today: food security and climate change. We understand and quantify the complex interplay between food, weather, trade, agriculture, and macroeconomic conditions in a world upended by climate change, a growing population, and more. The team at Gro has built a platform that allows businesses, non-profits, and governments to better plan for and adapt to these changes. With offices in both Nairobi and New York, Gro has the financial backing of prominent investors such as TPG Growth, Intel Capital, Data Collective, and GGV. Gro is a diverse, intellectually curious team of technologists, scientists, and business professionals united by a shared commitment to build AI that addresses agriculture, food, and our climate on the most fundamental level.

What You'll Do:

  • Develop and maintain high-performance, high-availability production level algorithms based on statistical modeling procedures and machine learning models to analyze the quality and performance of data and data pipelines
  • Develop algorithms to analyze multiple large structured & unstructured datasets to extract insights and relationships within and between them
  • Develop algorithms for outlier detection, missing value imputation etc across various types of structured & unstructured datasets
  • Liaise with stakeholders to analyze business problems, clarify requirements and define the scope of the resolution needed

What We're Looking For:

  • 5+ years related experience
  • Bachelor's degree in Engineering, Computer Science, Math, Statistics, Physics or a related field
  • Strong understanding of statistics, mathematics
  • Strong computer science fundamentals (data structures and algorithms, system design etc)
  • Ability to work collaboratively with team members across functional roles with strong communication and leadership skills
  • Familiarity with machine learning frameworks and libraries (tensorflow, scikit-learn, keras etc)
  • Ability to work in Python, Java, Scala or C++
  • Knowledge of distributed computing systems/frameworks (apache spark etc)
  • Passion for solving high impact problems with data driven tools
  • Experience working with geospatial data and/or Data Engineering


Gro was founded in 2014 and currently has offices in Nairobi and New York City. The company was built on diversity and the knowledge that artificial intelligence is only as good as the human intelligence behind it. Gro’s team represents the world it is modeling. At the company, we speak more than 27 languages and we comprise a wide range of experts, from agronomists and crop scientists, to mathematicians, engineers, data scientists, market research analysts, designers, historians, and philosophers. Our culture fosters collaboration between people of extremely different backgrounds that allows us to accomplish things that would otherwise seem impossible. 

Gro Intelligence is proud to be an equal opportunity employer and will consider all qualified applicants regardless of color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, actual or presumed belonging to an ethnic group, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Gro Intelligence has developed the world’s most extensive agriculture data platform. Gain a competitive edge through access to Gro's unparalleled data, analytics, and forecasts from a single platform. Gro’s leading edge software automatically harvests disparate data, transforms it into knowledge, and uses machine learning to make predictions. Today, Gro offers: - The world’s most extensive collection of agriculture data - Analytical tools, predictive analytics, and proprietary models - Intuitive agriculture-centric visualizations and live dashboards We work on Gro’s products with the objective of enabling others to undertake better and deeper analysis in their fields of expertise. Increased incomes, climate change, and a growing population combined with unsustainable production and consumption patterns globally mean we need to figure out many smart solutions in a short period of time. We can’t address the issues facing agriculture on our own. People across the entire value chain must become more data-driven and innovative, which is why we have built the data infrastructure necessary to support and facilitate this innovation across the global food and agriculture industry. Gro Intelligence is headquartered in New York City and has offices in Nairobi, Kenya.