Heron is part of the Y Combinator Summer 2020 program
Build the future of Fintech
Join an early-stage, fun, and fast growing startup!
We're always interested in talking to entrepreneurial individuals based in or willing to relocate to London, England and looking. Please reach out to us if you are interested to chat!
Machine Learning Engineer
Heron Data is a Y Combinator-backed technology start-up based in Farringdon, London. Our mission is to enable better financial services for all by accelerating innovation in financial technology. Specifically, bank transaction data is valuable, under-utilised, and increasingly available. By helping companies unlock the power of bank transaction data to generate insights and fuel new features, we can enable companies to better serve their customers and drive innovation. We are an established, humble and hungry team from diverse backgrounds and are backed by prominent investors. We launched in fall 2020, and have already seen more customer interest than we can handle on our own, which is why we are looking for a Machine Learning Engineer to join our team.
At Heron Data we process an ever-growing velocity and volume of data, and we perform increasingly sophisticated prediction and classification tasks on this data. For example, we use a variety of NLP and ML techniques like text vectorisers or few-shot learning to understand what merchant or label a bank transaction relates to. As a machine learning engineer, you will responsible for owning the ideation, development and deployment of high-performance models. Your role could also include projects like building a pipeline to deploy and experiment with multiple models, researching new inference approaches for specific problems, define performance metrics for monitoring & experimentation, and ultimately do whatever is needed to solve our customers' problems. If you enjoy taking responsibility, are exciting by short & iterative development cycles, and seeing real impact from your work, this role could be for you!
This role is based in London - we have a flexible work from home policy - and you will receive substantial equity compensation and market-comparable cash compensation.
You have experience with end-to-end ideation, development and deployment of machine learning models to solve real world problems
You are metrics-driven and understand the importance of measuring the impact of your work
You know the basics of software engineering e.g., version control
You enjoy breaking down challenging problems into simple & well-designed solutions
You thrive in a fast-paced, high-growth environment and value MVPs over perfectly engineered systems
You enjoy working in a team
You are committed to personal growth and development
You are flexible on frameworks and technologies, even if you might have favourites
You are entrepreneurial. This means finding problems without being told about them, thinking independently about issues and clearly advocating your position, and taking full ownership of your work, even if things go wrong