Tise is a Norwegian, fast-growing software company. We do everything from coding to design and business development in-house. Our main focus is the mobile app called “Tise”, as in "advertise". It is a marriage between Instagram and Finn.no for selling and discovering second hand fashion, interior and furniture. We’re already more than 1,5 million registered users and are the largest marketplace within the fashion category in Norway.
We have offices in Oslo, Stockholm, Helsinki and Copenhagen, and are currently expanding quickly in the Nordics and Brazil. We are looking for an experienced ML engineer to join our team of nice, skilled and dedicated people.
Big features in Tise include our search- and recommendation engine, interactive chat, as well as payment solution. Machine learning is a relatively new field for us, and the successful candidate will be a pioneer in introducing new tools and techniques to improve existing and future solutions. The sky is really the limit when it comes to how we can utilise data to build better and more meaningful user experiences in our applications, and we think this is a hugely exciting opportunity.
On the backend we primarily work with these technologies: Node.js with MongoDB, Django with Postgres, all running on AWS. We also use services such as Redis and Memcached. In the ML-space we utilise some AWS services such as AWS Personalize, and the candidate will be able to greatly influence the technological direction of machine learning in the company.
This is an open opportunity for a motivated machine learning engineer to join our team, either remotely or in Oslo. We have people working both remotely and in office, and believe that both can be good alternatives for the right candidate.
Responsibilities:
Take broad, conceptual ideas and turn them into something useful and valuable for our users
Own the full ML life cycle for significant new ML products, including production quality
Contribute to high-level strategic decisions with the rest of the Product & Tech teams
Partner with Product Managers, Engineers, and other stakeholders to oversee the user experience of a product from conception to until launch
Continually improve existing products and take a creative approach to new opportunities
Consistently advance the state of ML in the company
Minimum qualifications:
Team player
Experience in one or more of the following areas: Machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
Proven ability to translate insights into business recommendations
Experience in developing production level ML products
Preferred qualifications:
MSc degree in Computer Science or related quantitative discipline
3+ years of machine learning related work or research experience
Creativity and ability to work independently with limited supervision. Proven ability to create structures and operational concepts.
This job comes with several perks and benefits