Senior Machine Learning Engineer

At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers and advertisers - intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEM’s supercharge awareness, acquisition, and monetisation. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.    

The success of our business is greatly and directly influenced by our machine learning team. The team includes research, data science, statistical modeling and machine learning experts. The team’s core objective is to automate decision making and increase its accuracy, by creating cutting edge models.

As a Sr. Machine Learning Engineer you will build Machine Learning models and deploy them to production on a gargantuan scale. We serve 2B devices globally and handle 200B requests every day. Machine learning models are at the heart of our technology and serve following use cases:

- Predict mobile user’s favorite games based on their previous gaming experience

- Predict the value of the user (in-app transactions) for mobile game developers

- Optimize our bidding prices in a real-time auctions

- Optimize infrastructure utilization

- Detect and eliminate fraud

- Detect image content in ads

• Contribute to the design and create ML projects that promote our company objectives
• Advance the team’s technical expertise and serve as a subject matter expert to help the team solve problems in accordance with our overarching business vision
• Manage and collaborate on cross-functional technology and data initiatives
• Support libraries and documentation
• Mentor and guide teammates and coworkers, collaborating onsite up to 3 days per week at our Warsaw Tech hub

• 4+ years of experience in machine learning engineering
• Ability to accommodate hybrid working model (with up to 3 days working onsite per week, in the office located in Warsaw)
• Bachelor degree in computer science, mathematics, or related field
• Experience in building and automating scalable machine learning pipelines in cloud ecosystem
• Efficiency in either Python or Scala
• SQL proficiency across range of platforms
• Knowledge of cloud data solutions including data lakes or managed services such as Databricks
• Knowledge of development tools and processes used in data science
• Self motivation to achieve something remarkable