Machine Learning Engineer

Fandom

Poznan, PL
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Consumer
  • Post Date: 11/23/2022
  • Website: fandom.com
  • Company Address: 130 Sutter St, San Francisco, California 94104, US

About Fandom

Fandom is the world’s largest fan platform where fans immerse themselves in imagined worlds across entertainment and gaming. Reaching more than 300 million unique visitors per month and hosting more than 250,000 wikis, Fandom.com is the #1 source for in-depth information on pop culture, gaming, TV and film, where fans learn about and celebrate their favorite fandoms.

Job Description

Fandom is growing! In this Machine Learning Engineer position, you will build and optimize ML models and pipelines for a top entertainment and gaming platform with 350 million unique users monthly, billions of page views and hundreds of billions of events. You will support, enhance, and maintain our Machine Learning infrastructure in collaboration with our data scientists and data engineers. You will report to our senior manager of engineering. This position can be remote in Poland or hybrid to our Poznan office location.

Why Fandom Engineering?

  • You work at SCALE - 300K databases supporting our wiki communities
  • Your code goes to production with mature and fast processes
  • The team is collaborative with experienced engineers
  • You get to solve interesting and difficult problems
  • Our foundations are from from Wikipedia and Wikia

You Will

  • Develop machine learning models and associated data pipelines
  • Optimize and deploy ML models prototyped by our data scientists to AWS

You Have

  • 2+ years in Machine Learning deploying models in a cloud-based, large scale environment
  • Deploy and maintain ML models in production
  • Deep learning (Tensorflow, Pytorch) and classic machine learning (Scikit-learn, xgboost)
  • Experience in AWS stack (e.g. EMR, IAM, VPC, Lambda, CloudWatch, Athena, Redshift, EC2) or similar one from other major cloud platforms
  • SageMaker
  • Python
  • Docker

Bonus Points

  • NLP (HugginFace, Spacy)
  • Infrastructure as a code solutions (Terraform)
  • RESTful APIs in Java
  • Modern monitoring systems (Prometheus, CloudWatch)
  • K8s | Kubernetes solutions
  • Collaborate with data analysts
  • AirFlow
  • BigData processing technologies (e.g. Spark, Hive, Flink)

Benefits and Perks

  • Premium private medical and dental healthcare for you, your partner, and your family - it is fully paid by Fandom
  • Private life insurance - UNUM - includes medical child assistance and general medical assistance in Poland
  • Stock options
  • Cafeteria Benefit Plan - 160 points every month to spend on Multisport or cinema tickets or prepaid shopping cards (Allegro, Zalando, IKEA +)
  • Copyright % based on your level
  • MacBook Pro and all the gear you need for work

About Fandom

Fandom is the world's largest fan platform where fans immerse themselves in imagined worlds across entertainment and gaming. Reaching more than 350 million unique visitors per month and hosting more than 250,000 wikis, Fandom.com is the #1 source for in-depth information on pop culture, gaming, TV and film, where fans learn about and celebrate their favorite fandoms.

Fandom is an equal opportunity employer. Fandom values diversity, and all employment decisions are made on the basis of job requirements and individual qualifications.

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