Are you an initiative thinker looking to shape the ad tech space? Join our lab of deep divers.

WeQ is a mobile advertising company, achieving measurable results for clients worldwide. Headquartered in Berlin with an office in San Francisco, it has a global footprint in Tokyo and Seoul. WeQ drives user acquisition and engagement to deliver mobile performance and branding campaigns. WeQ’s experts enable clients to achieve their goals by combining a client-centric approach with purpose-built, state-of-the-art technology across 180 markets.

Help us build cutting-edge products that empower app developers and marketers. Join a multidisciplinary team of accomplished engineers with a focus on scalable infrastructure, architecture and process automation. We are experienced front-end and back-end developers, machine learning scientists, data engineers, architects and infrastructure experts, supported by a group of product managers. Get experience working with a full tech stack: we use a variety of programming languages ranging from Javascript / React on the frontend, e.g. our campaign management tools, from Python for machine learning, to PHP and Java for our backend services and ad serving systems. Work with our proprietary machine learning technology and generate billions of impressions per month, reach millions of unique users daily and process Terabytes of data per day.

We're looking for a talented Backend Python Engineer to help us improve our recommendation platform. You will be part of an international team that operates a recommendation engine which processes more than a billion of requests per month with a single-digit average latency and develops distributed systems that learn and recommend based on billions of events per day in real-time. You will work closely with our data engineers and ML scientists to implement, evaluate and improve algorithms. If you love to create, deploy and administer high-throughput low-latency web services in the cloud using cutting-edge technologies, and maybe even have a statistical/ML background, then you’ll feel right at home!

 

What we expect from you in this role

  • Working in collaboration with the Data Science and Data Engineering team to implement algorithms to optimize our ad delivery, from prototyping to evaluation and production.
  • Creating and operating scalable, highly available, low latency services that handle billions of requests per day
  • Improving current services architecture and quality
  • Working in an agile environment and actively contributing to continuous improvement of our products, processes, and tools
  • A passion for learning and improving yourself
  • Analytical thinking and a good understanding of math, statistics, and logic
  • Coming up with innovative ways to solve problems and helping to shape our products

Technologies we are using

Python3.7, Kafka, Sanic, Dash, Cython, PyHive, SciPy, NumPy, Scikit-Learn, Statsmodels, Pandas, Pivot, SuperSet, Airflow, Druid, Cassandra, Grafana, Graylog, AWS, Docker-Swarm, Terraform, Bitbucket-Pipelines, PyTest, Git

 

Requirements

  • 3 years relevant working experience minimum is a must
  • Expert knowledge of python3
  • Previous experience with AdTech and Machine Learning is a plus, if not then you at least should posses a burning interest in and the wish to greatly contribute and participate in the ever-changing, dynamic, and complex world of AdTech

 

Perks awaiting you

  • Join an international and thriving team of innovation-drivers spanning all continents and grow alongside the brightest minds in the industry.
  • Our cool offices are in hip Berlin and San Francisco neighborhoods with access to lots of amenities and top-notch workstations.
  • We ensure that your move to San Francisco or Berlin goes as smoothly as possible by offering relocation and visa support to settle comfortably into your new city.
  • We offer comprehensive health insurance at home or during your business travel, keep you hydrated and nourished with a selection of drinks and snacks.
  • We support your growth with intensive onboarding, quarterly reviews, hands-on mentoring from your manager and internal knowledge-sharing initiatives.
  • Enjoy 24/7 access to e-learning tools to improve your business, creative and tech skills.
  • San Francisco office offers in-house educational events: from building killer pitch decks to getting inspired by top industry speakers.
  • We’re all about community and collaboration! Mingle with your peers at our breakfasts, lunches, summer BBQs and many more (depending on location). 
  • Enjoy a gift and flexible vacation-time on us to celebrate special occasions (work anniversaries, birthdays etc.).
  • Help build the team with our employee referral scheme, offering between 2.000 - 5.000€ for finding the right fit. 

 

 

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