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\nAs part of our engineering team you will be responsible for building our product, an advanced machine learning algorithm within search personalization for e-commerce. As demand for our product continues to increase, we are on a journey to grow the team substantially in 2019. We’d love for you to join us.\n\n\nAbout the role:\n\nAs a Scala Machine Learning engineer you will help us build and maintain our ML platform, which is one of the most advanced that exists today. At Findify, we make extensive use of data-collection, processing and ML algorithms to help our merchants provide better search and recommendations to their customers. You would be responsible for building and improving our ML algorithms to help us achieve this goal.\n\n\nYour responsibilities include:\n\n\n* Implementing new ML algorithms and improving existing ones to fine-tune the search relevancy and recommendation quality we provide our 1500 merchants\n\n* Keeping up-to-date with academic research in the field of AI/ML to make sure our algorithms reflect the latest developments\n\n* Setting up the data processing pipelines to feed these ML algorithms\n\n\n\n\n\nAbout you:\n\nYou are a creative problem-solver with passion for Machine Learning and building scalable architectures.\n\n\nYou are:\n\n\n* Initiative-taking; you are self-motivated, a doer, and can drive projects from start to finish\n\n* A team-player; you are comfortable working with different styles and believe (like us) that together we achieve much more than alone\n\n* Driven; you are used to working hard to achieve a goal you care about and running several projects in parallel\n\n* A great communicator; you are comfortable in communicating in English both written and oral, including leading meetings, selling your ideas and storytelling\n\n\n\n\n\nYou have: \n\n\n* Experience building complete ML solutions: source data collection, feature engineering and model training\n\n* At least 2 years of professional experience with Scala. You are able to work on the full development cycle of an application, from designing a system, to validating by the code the possible assumptions and maintaining/improving an existing system\n\n\n\n\n\n* At least 5 years of general development experience including leading the design and development of back-end systems\n\n* Relevant education in Math, Statistics, Computer Science, or Physics. Msc/PhD a plus\n\n\n\n\n\nWe’d be extra impressed if you also have: \n\n\n* NoSQL: experience with Cassandra/Kafka\n\n* Dev-Ops: experience with AWS, Kubernetes, Docker\n\n* Scala: akka, akka-stream, akka-http, cats\n\n* Experience in working in/with remote teams\n\n* Experience in working in agile/lean methodologies\n\n* A side project or blog that showcases your passion\n\n\n\n\n\nLocation: remote. Flexible within timezone CET +/-2\n\n\nWe believe that the more inclusive we are, the better products we build and the better we are able to serve our customers. Women and other minorities under-represented in tech are strongly encouraged to apply.\n\nABSOLUTELY NO HEAD-HUNTERS OR AGENCIES, PLEASE \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Scala, Machine Learning, Senior, Engineer, English and Education jobs that are similar:\n\n
$75,000 — $125,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.