Job Description

Varjo is the world-leading provider of enterprise virtual and mixed reality solutions, delivering the highest levels of immersion, performance, and security for the most demanding industrial customers globally. Used by over 25% of the Fortune 100 to transform how they operate, Varjo is known for virtual and mixed reality that look and feel as real as the real world, allowing training fighter jet pilots and astronauts, designing cars, and conducting pioneering medical research across virtual environments. With our technology, professionals can recreate the exact feeling and conditions of real life in 3D, allowing them to work and train faster, better and more cost effectively.

Founded in 2016, Varjo now operates in over 40 countries worldwide with 200 employees in offices in Helsinki and Washington D.C. Our multicultural team consists of talents from all around the world, and our daily working language is English. We believe in the power of diversity – where different experiences, backgrounds, and ideas drive innovation and results.

We are now offering you an exciting position where you can see into the future and play your part in shaping Varjo’s growth journey.

We are looking for a Computer Vision Engineer to join our Eye Tracking Team and contribute broadly across the eye tracking stack to deliver algorithms and machine learning models that power gaze-driven features in Varjo mixed reality products. In a small, fast-moving team you'll wear many “hats” and moving fluidly between algorithm development, ML, tooling, data work, and performance optimization as priorities shift. You will develop and optimize the algorithm pipelines for accuracy and runtime efficiency, build the systems that measure their performance, and work hands-on with real human-collected eye data to drive improvements. You are an experienced engineer comfortable working in both C++ and Python, with a strong analytical mindset and a genuine interest in applied machine learning.

What you’ll be doing

Stepping across the stack as needed; from low-level optimization in specialized hardware to ML experimentation to data tooling. You also will be taking ownership of problems end-to-end rather than a fixed slice:

• Developing and improving the ML-driven algorithm pipelines behind Varjo's eye tracking, coding in C++ and Python
• Optimizing algorithms and models for accuracy and runtime efficiency on low power resource-constrained hardware
• Building and automating the KPI and testing pipelines that measure eye tracking performance, along with the metrics and visualizations behind them
• Analyzing algorithm and model performance and running data-driven experiments to guide improvements
• Building and automating the data processing pipelines for the eye data captured in human data-collection studies

Our expectations

• 5+ years of professional software engineering experience, with proficiency in C++ for production-grade algorithm code
• Strong Python skills for data pipeline and ML work
• Practical experience with computer vision, machine learning, image processing, or sensor fusion
• Experience optimizing code and models for performance on resource-constrained or embedded hardware
• Experience delivering software within a structured development lifecycle, including work in sprints, continuous integration, quality assurance, and release processes
• Strong data analysis skills: data cleaning, statistical analysis, visualization
• Team player with excellent communication skills in English

A big plus

• Background in any tracking technologies: eye tracking, pose tracking
• Familiarity with camera hardware, optics, and image acquisition

By joining us, you’ll get

• Opportunity to take part in creating the new state-of-the-art in virtual and mixed reality experiences.
• A low-hierarchy culture with minimal bureaucracy and maximum opportunity for you to take charge of your work. 
• An international working environment with tons of opportunities to learn and grow with the company.

Ready to jump into the exciting world of VR/XR? Apply now!

Please note that many of our team members will be on holiday during July, so there may be longer response times and a slower hiring process during the summer months.