Klaus 😻

Klaus is a quality management solution that helps companies drive revenue by identifying gaps in customer experience – using AI, automation, and data analysis.

Support teams in companies such as Wise, Pipedrive, Epic Games, and SoundCloud use Klaus to review & impurrrove their customer service quality. 

Our quickly expanding, international team has embraced the remote-first mindset from day one. We're looking to expand our Machine Learning team in the office in Tallinn, Estonia or remotely from anywhere between UTC-1 and UTC+4.

Our Stack 📚

• Python
• Pandas, spaCy, TensorFlow, PyTorch etc.
• Google Cloud Platform
• Apache Beam / Google Cloud Dataflow, Apache Airflow / Google Cloud Composer
• PostgreSQL, Google Cloud Spanner, BigQuery, Google Cloud Pub/Sub
• Google Data Studio
  

What to expect? 🧐

• High level of independence and trust, you decide how the implementation is done
• Keeping track of your own tasks and nudging others whenever something looks stuck
• Building and evaluating tooling for data processing and other machine learning needs
• Working together with the data scientists to implement research models in production and developing solutions for preprocessing of structured and unstructured data in data pipelines
• Developing scalable methodologies for running and monitoring machine-learning models in production
  

Okay! But what are the expectations? 😎

• At least 6 years of experience in software development or data engineering and an interest in machine learning
• Proven track record as a solid software engineer with a focus on Python-based software development
• Strong understanding of SQL and database technologies
• Comfortable working independently, in English and in a remote setting
• It's a huge plus if you have experience with cloud-native technologies like Apache Beam, Apache Spark, Airflow, Kafka
• It's a huge plus if you have experience with Google Cloud Platform or Amazon Web Services
  

Still doubting? Here are a few more reasons why to join! 🎉

• Work in an exciting, rapidly-growing startup environment
• Remote-first culture – work from anywhere with colleagues from 17 different countries
• Base pay + meaningful stock option package
• Supported learning and development
• Mental health support
• Home office setup reimbursement
• Lots of cat gifs and the best colleagues