Apollo Agriculture is the commercial farming platform that helps small-scale farmers maximize their profits. Apollo’s machine learning powered credit models and automated operations technology unlock the massive, untapped small-scale farming market, starting in Kenya. With optimized financing, high-quality farm products, and digital advice, Apollo farmers are already more than doubling their farm profitability. Apollo’s team brings together technology, credit and operations experience from The Climate Corporation (acquired for USD $1 Billion), Google, Capital One, One Acre Fund, MessageBird and Booking.com. We value evangelical pursuit of mission with a pragmatic approach, humility in the face of challenge, active discussion of disagreements, and considerate listening.
About the Role:
Apollo is seeking an exceptional Senior Machine Learning Engineer to join our Data Science team and help us develop predictive Machine Learning models that powers our credit decisioning, fraud prevention and farming advisory capabilities.In this role, you will have the opportunity to combine different data sources like survey data, satellite imagery, weather forecasts and more to improve the capabilities and accuracy of our machine learning models to enhance our different business processes and improve the experience of our customers through different parts of their journey. You will work across different parts of our business and in collaboration with our Product & Engineering and Credit teams to achieve these goals.This is a hands-on role which requires deep knowledge of developing models in Python, deploying and operating them in production.
Build Machine Learning models to improve key areas of our product and customer lifecycle
Design, develop and deploy systems at scale to handle our growing demand
Maintain and evolve our cloud-based ML Platform, which we use for feature engineering, model development and model training in production
Propose and evaluate potential usage of ML model across Apollo
Mentor other engineers and peers across the organization on how to apply machine learning to improve our product
Collaborate with our engineering, product and credit teams to evolve our credit & fraud decision and advisory capabilities
Are excited about the mission of transforming the livelihoods of smallholder farmers.
Are a creative problem solver and excited to solve problems where technology doesn’t work as usual. Imagine challenges like poor or non-existent cell phone coverage, limited quality mobile phone hardware and limited demographic and weather datasets, and so on.
Have experience as a ML Engineer, Data Scientist or similar role, developing and maintaining ML Platforms and Model Pipelines. This includes understanding best practices on how to establish a model baseline, address concept drift, and how to develop, deploy, and continuously monitor/improve a productionized machine learning application. This typically means you have 3+ years of experience in such a role.
Have experience writing software at scale in any programming language such as Python, Java, Golang or Scala. This typically means you have 5+ years of professional software development experience at a fast growing technology company.
Have Knowledge of cloud computing fundamentals, including 1+ years working on AWS cloud-based infrastructure and experience with technologies such as ECS and Sagemaker to to build, train, and deploy ML models at scale
Are an exceptional writer and communicator. You can turn technical challenges and solutions into digestible technical documents and proposals to seek alignment and enable efficient technical decision making
Are a tireless problem solver who can roll up your sleeves to tackle whatever challenges need urgent attention, no matter when they arise. You have a “whatever it takes” attitude and are comfortable managing peers across different teams to get the job done.
Are a collaborative team of smart and ambitious people who are dedicated to serving our customers.
Make magic happen to solve hard problems and always come with solutions when challenges arise.
Are comfortable taking risks that can result in radical scale, and understand that failures are opportunities to learn and improve.
Are considerate listeners and take the time to deeply understand and seek out ideas from the people around us, even when we disagree.
Offer a dynamic environment that fosters talent, collaboration and growth.
Take pride in our work and share the responsibility to see it through from conception to deployment.
Back up our talk with a competitive compensation and benefits package and challenging projects.
Value autonomy, honesty, transparency, and respect.
Are excited to hear from you!
Apollo Agriculture does not discriminate on the basis of race, age, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression. Apollo Agriculture is an equal opportunity/equal access employer fully committed to achieving a diverse workforce.
Apollo Agriculture is committed to providing a safe and productive learning and living community. To achieve that goal, we may conduct background investigations for all final candidates being considered for employment. Background checks may include, but are not limited to, criminal history, national sex offender search and motor vehicle history.
Apollo Agriculture does not charge money or any kind of fee at any stage of the recruitment process.