Migacore Technologies is a fast growing company that uses advanced
machine learning techniques to understand how online interactions affect
offline behavior. Our first product dramatically improves demand
forecasting for the air travel industry. Right now, 20% of airline seats
fly empty, a multi-billion-dollar inefficiency; by leveraging both
public and proprietary data to better understand when people will
travel, Migacore Technologies can increase airline revenue while also
lowering average ticket costs.
Responsibilities
Can you design and build great product? As a Product Engineer at
Migacore Technologies, you will be responsible for understanding the key
factors that our users care about when they make decisions, and
presenting the information they need in a fast, beautiful, and intuitive
UI. You will work closely with the machine learning team to determine
what models, predictions, or explanations are most relevant to users,
and integrate them in the product. You will also work closely with the
data engineering and machine learning teams to ensure that data sources
are updated quickly and efficiently.
Our customers ultimately value us based on the quality of our
product, so you will have a chance to meaningfully shape the direction
of the company.
Requirements
- BSc or MSc in Computer Science or Software Engineering, or equivalent experience.
- Proficiency in JavaScript and web application development (familiarity with React.js and/or AngularJS preferred).
- Experience with data visualisation tools, such as D3.js, GGplot, etc.
- Experience with Python and Flask or Django preferred. Java/C++/Go/Ruby with web development experience is also welcome.
- Working knowledge of structured and unstructured databases (we currently use PostgreSQL and MongoDB)
- Bonus points for interest in or familiarity with machine learning, natural language processing, deep learning, or AI.
- Tackle open-ended problems independently, and think outside the box.
- Demonstrable strong work ethic and a passion for technology.
What we offer
- Competitive salary.
- Great working environment.
- A stake in the business.
- A critical position in a high-growth machine learning startup.
- The chance to move fast, deploy often, and have a real impact on the product.
- The chance to learn and grow extremely fast.
