Do you want to be a key part in establishing a leading Data & Insight community in one of Norway’s most exciting tech companies?

reMarkable creates hardware and software products that help people all over the world find focus. We launched our original reMarkable 1 paper tablet in 2017. Since then, we’ve sold more than 1,5 million devices, grown to over 400 employees, and transformed from a small startup to a fast-growing scaleup. Following the successful launch of the reMarkable 2, which was named one of TIME's top 100 inventions of 2020, our subscription service Connect in 2021, and the Type Folio in 2023, we've set ourselves exciting growth and product development goals for the coming years.

With a brand new campus opening in 2024 at Majorstuen in Oslo, and exciting products and services in development, we need new colleagues to join our journey.

The team you will be joining

reMarkable is growing rapidly and so is our need for data and insight. For this reason we have just embarked on an exciting journey to develop a world class data and insight capability. We are currently implementing a target state for Data & Insight that is heavily inspired by the Data Mesh paradigm of distributed data ownership, and are leveraging a modern data stack. By joining reMarkable as a Data & Insight professional you will be given the opportunity to play a key part in establishing a leading Data & Insight community based on modern principles in one of Norway's most exciting companies.

Our tech stack

Our infrastructure is mainly built in GCP (Google Cloud Storage, Cloud Composer, Cloud Run, BigQuery, Looker), with additional supporting tools for transformation and orchestration (e.g. dbt, Terraform, Github) as well as ingesting tools such as Fivetran and observability tooling.

Why we enjoy working here

• Exciting greenfield opportunities to discover, and all team members will have a say in the direction of the team and how we will work with data and insight

• We think and treat our features as products

• A big focus on learning, and continuously knowledge sharing within the team, and we have implemented self development days where you can deepdive into something you find interesting or further want to develop

• We have a hybrid working model, with flexible working hours

• Five weeks vacation + 5 reMarkable days to use as you wish

The role as Machine Learning Engineer

We are looking for a Machine Learning Engineer to build and maintain infrastructure that supports our machine learning pipelines and models. You will work on scaling our ML infrastructure, ensuring reliability, and optimizing model deployment. You will be working closely with the Data Platform team who is responsible for the Data Platform infrastructure and data pipelines.

Main areas of responsibility are:

• Design, develop, and implement machine learning models, algorithms, and data pipelines. This involves selecting appropriate algorithms, optimizing model performance, and ensuring scalability

• Clean, preprocess, and transform raw data into a format suitable for machine learning. Handle data imbalances, missing values, and outliers

• Train machine learning models on large datasets using frameworks like TensorFlow, PyTorch, or scikit-learn, and optimize models for accuracy, efficiency, and speed

• Create relevant features from data to improve model performance.

Who we believe will succeed in this role

• You have a degree in Computer Science or similar, with 3+ years of experience as a Developer

• You have high programming literacy (Go/Python/SQL/Javascript etc), and is interested in learning new programming languages

• A self starter who is product oriented and creative

• You are curious and seek out new and better ways of doing things

• You take the pragmatic approach to ML Ops focusing on a value-first-approach iterating fast resulting in the least amount of maintenance

• Experience with containerization, orchestration tools, and DevOps practices is a plus.

Practical information

• We will review applicants on a rolling basis

• Location for this role: Oslo, Norway

• You should have a valid work permit from the EU/EEA. (Relocation assistance is provided)