Machine Learning Engineer

Responsibilities:

• 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.

You:

• 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.

We:

• 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!