Machine Learning Engineer to FinTech Scaleup

Machine Learning Engineer to FinTech Scaleup

Arbetsbeskrivning

At Minna Technologies, we are on a mission to bring power to the modern consumer through effortless subscription management. Founded in 2016, with partners such as Visa, Swedbank and Danske Bank, we are currently one of Europe's fastest growing FinTech companies. Our world-leading subscription management products currently reach 18.7 million users and help people save time, money and effort.

We are and develop world-class talents, trusting each other's knowledge and experience to achieve great things together. We are always eager to fulfill our purpose and we take on risks, crash and burn - rather than being mediocre. We are proud to say that amongst others, Business Insider recognises us as a top 5 global PFM FinTech and Sifted consider us to be a top European FinTech.

About the job
We are a community of software engineers working across 6 autonomous product teams. Right now we’re transitioning from a successful start-up to a scale-up, and continue to expand our market reach. With great success and increased market reach comes a big inflow of users, all of which we help manage their subscriptions.

Our users are regular people, all of whom have a number of services they use in their day to day. Streaming services, electricity, gym card, groceries, car pools, E-scooters... you name it. All these things are available as subscriptions, and we see more and more companies offering their services as subscriptions. We genuinely believe many business models are transforming - and the world is entering a subscription economy. Our mission is to help regular people manage all their subscriptions in a simple way, to bring them power and control in the new subscription economy.

Quite often people realise that they’re paying for a subscription they no longer want or need, and so Minna conveniently helps them cancel that subscription with just a couple of clicks. Behind the scenes we work a lot with the service providers in order to make this happen. We need you to help automate these interactions even more, allowing us to vastly increase our user base while at the same time enabling our back office staff to apply their time and talent to those human interactions that computers cannot currently manage.

We’re a fast moving company and quick to change our approaches when needed, if you’d like to work with the state of the art in NLP there’s a fair chance we can make that happen. We’re already leveraging ML, as well as other ways to reduce the human touch-time for each interaction. In this role you’ll be working as part of an autonomous full-stack product team who owns our subscription cancellation product. Your mission will be to lead our cancellation automation efforts, take them to the next level and decrease the per-cancellation cost. This will likely involve things like

- Automating communications and interactions with humans, for example both interpreting and generating text is within scope.
- Inventing new ways to automate interactions, crowdsource training data, drive user and support person behavior - always figuring out new approaches to reduce cost-per-cancellation.
- Automatically flagging conversations for our own back office staff to take action on, and provide recommendations and suggestions.
- Learning automatically from what actions our users and staff take, so that the system becomes ever more automated.
- Measuring user and staff behavior, as well as automation performance - so that you and your colleagues can best direct your efforts and maximize impact.


Our ML stack currently consists of TensorFlow+Keras and Google Cloud AI, and our application stack is leveraging Scala, Typescript and React running on Kubernetes in Google Cloud Platform. Long experience with our stack is however not a requirement; we believe that the right candidate will be a keen learner and have a broad experience that easily transfers to new areas.

We do believe that you’ll want to care about the success of our cancellation product as a whole, and not just work within the tight ML space and produce models. But rather be open minded and work towards what the team and product needs the most in order to succeed. Keeping in mind that this isn’t a research position and that we’re looking to solve concrete business problems and get the most bang for the buck - taking things to production and operating them will be the normal case in this position.

What we are looking for
- Driving and self motivated as a person - your team’s product owner will help set the vision and general direction, but you need to lead the way and figure out the how.
- Wise enough to know when to leverage new or old-and-still-good-enough techniques, pretrained models, transfer learning, human work, heuristics or any other tool in your toolbox - all in order to make the most impact in as effective a way possible.
- Ability to communicate your ideas and vision. Adapting your language to the receiver - be it developers, back office staff or business people.
- Skilled at seeing the big picture, we really want you to innovate in the cancellation automation area.
- Can teach us how these things should be done - you’ll be the machine learning expert and you need to coach us in how it should be done.
- Comfortable with taking things to production and scaling them. You’ll build and ship software, and monitor its production performance so you know when it needs tuning.
- We believe experience of NLP, Python, TensorFlow, data analysis, notebooks, model quality assessment and data wrangling will help you quickly become productive here.
- Good judgement on how different choices affects both the business and processes, as well as how it affects the technical aspects and maintainability of your solutions.
- Proficient English oral and written communications skills. We’re a multicultural company and Swedish is not a requirement in this job.


What we would love to offer to you
Our family consists of highly talented individuals from all over the world. What unites us is our enthusiasm for shaping the future of FinTech.

At Minna, we believe that autonomy and collaboration is more important than hierarchy. We value a caring and equal workplace where you are allowed to grow while being yourself.

Besides compensation and benefits there to empower all aspects of your life we also offer you equity in Minna Technologies.

If you would like to learn more about our company, we encourage you to check out our Life at Minna Technologies (https://www.in...

Sammanfattning

  • Arbetsplats: Minna Technologies
  • 1 plats
  • Tillsvidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 5 november 2020
  • Ansök senast: 5 december 2020

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