Senior Machine Learning Engineer
4 tygodni temu
Senior Machine Learning Engineer
Digital Turbine is a leading mobile advertising company that makes experiences more meaningful and rewarding for users, app publishers, and advertisers. We connect people in more ways, across more devices, and provide powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization.
The success of our business is greatly influenced by our machine learning team, which 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 Senior Machine Learning Engineer, you will build machine learning models and deploy them to production on a massive scale. We serve 2B devices globally and handle 200B requests every day. Machine learning models are at the heart of our technology and serve various use cases, including predicting mobile user behavior, optimizing bidding prices, and detecting fraud.
About the Role
- Contribute to the design and creation of 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
About You:
- 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
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