Senior ML Engineer

We are expanding our tech team and are looking for a Senior ML Engineer. If you want to work with smart and ambitious people, international customers, large datasets and solve valuable problems in a small and efficient team; Burt is for you.



About Burt
Burt is a Software-as-a-Service (SaaS) company headquartered in New York with our tech team based in Gothenburg, Sweden. We have some of the world's largest media companies on our list of customers, including Vox Media, Ziff Davis, and The CW Network.
Our product empowers media ad sales and operations teams to make fast, confident decisions by providing a single point of access to explore, analyze, and share insights across their advertising business.
The Team
We are a small and efficient team, which means we stay clear of bureaucracy and focus on getting things done. Everyone here plays a key role and has a direct impact on our customers. 
We are always looking for ways to improve, and we value every team member’s ideas. With a mix of experienced engineers and fresh talent, we foster curiosity and continuous learning - everyone has something to teach, and something to learn.
Our culture is results-oriented, grounded in the belief that freedom and responsibility go hand in hand.
The Role
As a Senior ML Engineer, you will be at the forefront of developing and enhancing our forecasting service. You will design and implement large-scale features, working closely with our team to select the right technologies and plan for the implementations. 
You will further play a crucial role in maintaining our robust data pipelines, processing and transforming raw data from multiple sources, and building machine learning models to predict advertising inventory accurately. You will work with both NoSQL and SQL databases and employ Docker, CI/CD, and Infrastructure as Code (IaC) approaches to ensure efficient and scalable deployments.
You will collaborate in a dynamic environment where we follow agile methodologies to ensure rapid development, continuous improvement, and close collaboration with our users. The role involves leveraging big data technologies, transitioning from the Spark family to Clickhouse, and working on cloud platforms to ensure our service is scalable, reliable, and easily accessible.
Qualifications
Proven software engineer
3+ years of production backend/ML development/comparable experience
1+ year with Python
Practical knowledge in ML and statistics: GBDT, scikit-learn, feature engineering, validation and tuning. 
Algorithms and data structures; not being scared of them and being able to reason.
Ability to switch hats and being self-sufficient as both data scientist and software engineer.
Being ready to develop a product in a customer oriented team, taking responsibility and approach challenges conscientiously.

Bonus points for
Time series experience is a plus. DL and SOTA architectures is not a requirement because honestly we are not there yet.
Java/Scala/Kotlin experience is a plus.
MLOps experience is a plus.



This role can be remote. We will invite you to Gothenburg about once a quarter for team meetups and collaboration.

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