About Solution Seeker
Solution Seeker is a scaleup that builds software and AI for industrial production optimization, turning data into value and insight for our users. Our software streams live sensor data from production facilities all over the world, which is processed using patented algorithms for identifying stable periods and selecting the most valuable data points for our machine learning models.
On top of this, we build applications that help customers visualize and contextualize their data with our predictions and analyses, enabling them to make decisions for optimizing production. In addition to working with clients, we dedicate a significant portion of our time and resources to machine learning research and active topics, including generative and probabilistic modeling, hybrid modeling (combining physics and ML), data-driven production optimization, and closed-loop identification.
Job description
As a UX-designer at Solution Seeker, you become part of a committed analytics team that constantly seeks ways to develop better products for our customers. You will be the main responsible for knowing how our customers interact with the products, and translating this knowledge into overall interaction and visual design across the entire product portfolio. You will play a central role throughout the whole process of product development, working closely with both the customer-facing and development teams in Solution Seeker.
Solution Seeker is a team of highly competent people who crave autonomy. This is something we encourage in our employees, and the same goes for this job opportunity. That means you can shape your own role as a UX-designer. However, a red line in your work should be to immerse yourself in the world of our users. Possible tasks and responsibilities are:
About you
In addition to being technically skilled, we are looking for someone who is curious at heart and never backs down from a challenge. You are generous and accountable, always seeking opportunities to include others rather than exclude them. Your playful nature and desire to contribute to the environment make you a valuable team member, understanding that happy programmers lead to happy customers. You thrive in a young and fast-paced environment, where your passion for continuous learning and innovation drives your success. Join us and be part of a team that embraces curiosity, warmth, playfulness, and punchiness as we work together to create groundbreaking solutions and maintain our position as world-leading experts in our field.
What we offer
At Solution Seeker we value well-being highly - both socially and professionally. You will contribute to shaping your own workday, with the possibility of being part of multiple teams at the same time or hand-picking certain tasks you find interesting. As a company with young and outgoing employees, we enjoy small and big social activities like lunch runs, after-work beers, company trips and the annual “bring your friends party”.
We offer flexible work hours and the opportunity to work remotely. Still, most of us prefer our spacious offices in downtown Oslo, and the daily delightful lunch conversations. If you want even more spice in your day-to-day life, it is possible to spend one or more of the cold winter months at our offices (and the beaches) in Rio de Janeiro.
If you think you are a good fit for the position, we look forward to receiving your application!
The following skills will probably be helpful:
Applicants that include information about or links to previous projects will be prioritized.
Ordinary start time for this position is August 2025, but an earlier starting date can be organized if preferred.
Solution Seeker is a scaleup that builds software and AI for industrial production optimization, turning data into value and insight for our users. Our software streams live sensor data from production facilities all over the world, which is processed using patented algorithms for identifying stable periods and selecting the most valuable data points for our machine learning models.
On top of this, we build applications that help customers visualize and contextualize their data with our predictions and analyses, enabling them to make decisions for optimizing production. In addition to working with clients, we dedicate a significant portion of our time and resources to machine learning research and active topics, including generative and probabilistic modeling, hybrid modeling (combining physics and ML), data-driven production optimization, and closed-loop identification.