About Addi We are a technology company working to transform credit and banking in Latin America starting with point of sale finance. We aim to build fair, simple and affordable financial services that empower our clients, treating them with dignity, and building financial freedom. We launched in February 2019 and have already served millions of clients and disbursed millions of dollars. We operate as a full stack startup. We have built our core systems and processes from scratch, and we believe our technology and analytics platform will drive our progress into the years to come. We come at this with deep experience building and growing technology teams and financial products. As important as what we do is how we do it. We are a conscious company and are deeply committed to working and living our five core values - A company of owners inspiring colleagues, we pull rabbits out of hats, we care and we trust, act with integrity, win today every day, and scale exponentially. We are backed by Andreessen Horowitz, Monashees, Village Global, and an outstanding team of individual angels, including Kevin Ryan, Josh Abramowitz, and Scott Weiss. What you will do As a Machine Learning engineer at ADDI, you will work closely with software engineers, data engineers and data scientists to build and scale our ML infrastructure architecture. Your mission will be highly focused on evolving our ML infrastructure to serve our ML requirements and eventually automate our most complex data use cases to train, serve and monitor our ML models. Have designed and built ML pipelines from scratch using modern data infrastructure architectures. Knowledge about ML serving tools like Kubeflow, MLFlow or Metaflow. Have mastered the technical requirements to get stable and scalable code into production. Experience with modern Python libraries and tools Great communication abilities with technical and non-technical stakeholders Requirements Have designed and built ML pipelines from scratch using modern data infrastructure architectures. Knowledge about ML serving tools like Kubeflow, MLFlow or Metaflow. Have mastered the technical requirements to get stable and scalable code into production. Experience with modern Python libraries and tools Great communication abilities with technical and non-technical stakeholders Benefits Work on a problem that matters and help change customers' lives. Build a lasting company from the very beginning, helping define every aspect of it. Massive market opportunity ahead of us; we are growing faster than pretty much any other fintech lender was at our stage. Work alongside a great and diverse team that cares about what we are doing and how we are doing it. Generous compensation, including equity, 100% health insurance (and 100% for dependents), flexible time-off, learning budget, and visa sponsorship for foreigners. How the hiring process looks like Meet with our recruiter for a 30-minute video chat. We will get to know you better, understand what you're looking for and answer any questions about ADDI. Meet with the Head of Data Science for a 60-minute video chat interview. Here, we will ask you questions about your technical background and basic computer science concepts. You will be able to ask any questions about the culture and how we work at ADDI. Complete a simple take-home challenge within a 1-week window. With this technical challenge, we want to see your technical expertise solving a real-world problem. We expect that you invest 5 hours or less in developing a working solution. Meet with a Python Engineer, Head of Data Science and Head of Data Engineering for a 45-minute chat to talk about your take-home exercise submission and any questions you might have. Meet with one of our founders for a 30-minute chat to talk about the vision of the company, what we are building and how you will contribute to our product. #J-18808-Ljbffr
