Tise

Oslo

At Tise, our goal is to make the world favori’tise second hand by making it easy, fun and inspiring to sell and buy second hand through our marketplace. We are closing in on 4 million users and have a highly engaged community of tisers across Norway, Denmark and Finland. We are now looking for a Senior Machine Learning Engineer in Oslo who wants to be a part of our journey and help us take Tise to the next level 🚀
Engineering at Tise
We're currently 16 engineers split across backend, web, iOS, data, and Android. Most of us work in small, cross-functional product teams, solving fun and complex problems. The rest work in specialized teams that focus on their platform’s architecture, best practices, tooling, core functionality, and long-term roadmaps to ensure we are building things to last. Engineering is part of Product &amp; Technology, and is located at Tise HQ in Oslo. Here you will also work closely with the rest of your colleagues in Tise (see instagram.com/tiseteam to get a sneak peak!).
Senior Machine Learning Engineer
At Tise, we are fortunate to possess large amounts of data across multiple domains, including behavioral data, text, images and video. The potential for what we can achieve with data and AI is high, and it will play a key role in taking our product to the next level!
As Senior Machine Learning Engineer in Tise, we work in a small, autonomous team with a lot of freedom when it comes to technical decisions and product impact. We collaborate closely with the other product teams, working with the entire lifecycle of data solutions. Our work sits at the intersection of data science and ML engineering, and we wear many hats: shaping product decisions, integrating services, and building prototypes to showcase new possibilities. Being a small team requires us to be pragmatic about resource allocation and project scoping, and our current ML features are therefore based on a mix of models we’ve built &amp; trained ourselves, and more ready solutions picked off the shelf. We are now looking for a new member to join our team - is that you??
What you’ll work on:
<ul><li>
Build and evaluate personalised product solutions within recommendation &amp; search, pricing, anti fraud, smart assist features and more
</li><li>
Develop, deploy, and maintain production-ready scalable ML systems
</li><li>
Develop and test data processing pipelines
</li><li>
Stay up-to-date with recent developments in the ML/AI space
</li><li>
Explore and gain insights that drive product decision making
</li><li>
Monitor and iterate on ML models in production, aligning with company goals and improving user experience
</li></ul>
About you:
<ul><li>
Higher education within computer science, statistics, applied mathematics, data science, or related fields
</li><li>
At least 3 years of professional experience as a data scientist or ML engineer within recommender systems, computer vision, natural language processing or similar AI/ML domains
</li><li>
Enjoy writing maintainable python code
</li><li>
Experience with various machine learning libraries and frameworks (e.g., PyTorch, Scikit-Learn, Keras, TensorFlow, Pandas/Polars)
</li><li>
Experience with developing workflows and/or deploying models on cloud platforms
</li><li>
Like to communicate your work and ideas to technical and non-technical stakeholders
</li><li>
Self driven, organized and able to balance multiple projects
</li><li>
Product and user oriented problem solver with an experimental mindset
</li></ul>
If this sounds interesting, you can apply by submitting your contact information and CV/or your LinkedIn profile. Submitting a cover letter is optional. We encourage you to apply as soon as possible if you are interested in the position, as we will invite relevant candidates for a chat on an ongoing basis 😃
Application deadline is 31.08.2025!
At Tise, we’re proud to be a diverse team representing several nationalities, with English as our working language. We believe that diversity strengthens our work and that’s why we encourage all qualified candidates to apply -- regardless of age, gender, disability, religion, ethnic background, or gaps in your CV 💫

Are you our new Senior Machine Learning Engineer in Tise?