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Machine Learning & Infrastructure Engineer


Remerge is a fast-growing mobile advertising scale-up that has become the no.1 app retargeting company over the last 7 years with offices spanning Berlin, San Francisco, New York, Singapore, Beijing, Seoul and Tokyo. Remerge enables app developers to re-engage up to 3.3 million users per second across 1 million apps globally in order to increase retention and boost user lifetime value. We love data, designing for the user and anything that helps drive intelligent decisions.

Job mission

As a Machine Learning & Infrastructure Engineer, you will be working with Data Science and Engineering teams to create Machine Learning tools, design new and refine existing Machine Learning models for various applications, and communicate with both of the teams to find the best solutions from both perspectives.

What you'll be doing?

  • Design and implement applications and tooling for consolidating and processing of big volumes of data from multiple different sources: Kafka, Postgres, Elasticsearch, Aerospike databases, Druid, Amazon and Google cloud storages.
  • Support and improve our in-house built Machine Learning models development, tracking and deployment system, covering all stages of models life cycle, from early experiments to production deployments.
  • Work with Data Scientists and Engineers to design, implement and optimize Tensorflow and Go-based Machine Learning models to be used in data analysis and real time bidding, where milliseconds matter.
  • Together with the Infrastructure team set up an easy to use and cost effective infrastructure for all the above and more

What you'll bring along?

  • Good understanding of Python and its ecosystem, especially in the areas of data science and Machine Learning.
  • Solid knowledge of Machine Learning models: their types, evaluation principles, advantages and limitations.
  • Experience working on performance-oriented software in Golang or other languages: optimizing for memory usage, execution speed, response times etc.
  • Experience in working with Big Data systems

Extra points for:

  • Understanding of Tensorflow APIs and its internal structures
  • Prior experience with Machine Learning model optimization
  • Strong understanding of system metrics and monitoring solutions, like Prometheus, Grafana etc.
  • Experience in working with AWS and GCS, their cloud storage and scheduling solutions: S3 and GCS, Airflow, BigQuery.

Why choose us?

  • Unlimited vacation days - for real. We give you the freedom to figure out the most productive work-life balance for you
  • Mentorship program for technical and non-technical skills
  • A truly modern place to work: work from home, from our brand new office in Berlin, or remotely - your work environment is yours to design. We are a remote friendly-company on the way to becoming a remote-first one!
  • Generous remuneration package including virtual shares, a dedicated education budget
  • End of the year bonus determined by company performance
  • Travel to our offices around the globe for a short term assignment for up to a month each year
  • Comfortable work setup - laptop, phone, screen(s), standing desk etc.
  • Support for your setup while working from home
  • Wellness benefits such as sports memberships and internet reimbursements
  • Company events including breakfast twice a week, team lunches, birthday and milestone celebrations, quarterly team events and company-wide parties

Remerge is an Equal Opportunity Employer: all qualified applicants are considered for positions regardless of race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, veteran status or disability. We're looking forward to your application!