Software/Data/ML Engineer

About Unacast

Unacast is a global leader in location intelligence, transforming our understanding of human activity in the physical world. We leverage machine learning and AI to extract valuable, privacy-friendly insights from location data, delivering unique intelligence to companies across various industries. We're a thriving company with a strong client base, yet we maintain the startup spirit where your work truly makes an impact—join us as we enter an exciting phase of growth and innovation!

The Team

The Visitation team is responsible for designing, implementing, and maintaining systems that model mobility patterns for tens of millions of locations across the globe. We don't just predict how busy a place is; we also infer the profile of a typical visitor, popular visitation times, average duration of stay, and many other actionable insights about the venue or its surrounding area. 

Our team has members in Pilsen (Czech Rep.), Oslo (Norway) and also Barcelona (Spain). We work in a hybrid model—balancing remote work with in-office collaboration. Typically, we spend one or two days a week in the respective office, where we work, share meals, and even do yoga together. We expect you to work in person at least once a week or as needed based on current needs..

Position Overview - ML Engineer 

We are looking for a skilled and reliable ML Engineer to help us implement predictive models and build scalable, maintainable pipelines that handle terabytes of raw data—from ingestion to inference.

Key Responsibilities

• Design, create, and operate data & machine learning pipelines using cloud technologies (e.g., GCP, AWS).
• Work comfortably with large datasets (>= terabytes).
• Collaborate with the team to write and maintain a professional code base and production environment, including QA, testing, DevOps, deployment, monitoring, and debugging.
• Write efficient SQL queries to retrieve data.
• Analyze data issues and respond to client inquiries, clearly communicating any challenges.
• Optimize data flows, storage, and architectures to improve robustness, latency, throughput, and cost-efficiency.
• Establish MLOps procedures.

Required Qualifications:

• Experience in ML/Data Engineering or Backend Software Engineering.
• Experience in building data pipelines that run in cloud production environments.
• Focus on building automated, tested, and robust solutions.
• Proficiency in Python and SQL.
• Comfortable communicating in English.
• Passionate and positive.
• Persistence and adaptability when faced with challenges.

It is also great if you:

• Have experience with some of the tools we currently use, such as
  • Google Cloud and Google Big Query,
  • TensorFlow, PyTorch, Big Query ML or another ML framework.
  • Apache Airflow
• Are familiar with MLOps or DevOps principles
• Are interested and have experience working with geospatial, temporal, or statistical data
• Are interested in deploying LLM solutions into production
• You’ve worked or heard of Neo4j

Once you get up to speed, we expect you to:

• Proactively solve challenges.
• Focus on delivering value to our customers.
• Be agile and adaptable in our startup environment.
• Participate in on-call duties if/when necessary.

What we offer:

• A passionate, intelligent and fun product team
• Impactful work on unique, cutting-edge solutions.
• Flexible work location (with 1-2 days/week in the office).
• Professional development support (including regular hackathons and 3 “learn-something-new” days per year).
• Scandinavian work culture with flexible hours
• Competitive salary
• An international work environment with colleagues from around the world
• Five weeks of vacation
• A new MacBook Pro or other preferred laptop
• Regular social/sport activities (yoga lessons, running, climbing, etc.).
• Free lunches, snacks, and quality coffee at the office
• A central office location in Pilsen
• Occasional visits to our Norwegian office

We care deeply about our team, creating a space where you can thrive, connect, and make a real impact. We’re excited to see how you can contribute and look forward to receiving your application!