Machine Learning Software Engineer @
4 days ago
- 2+ years of experience in software engineering
- Bachelor Degree in Computer Science, Mathematics, or related field
- Proficiency in any JVM-based (Java, Kotlin, Scala)
- Self motivation to achieve something remarkable
- Proficient communication in English is a must
Nice to have skills:
- Experience with Apache Kafka, knowledge of stream processing framework like Apache Flink, experience or interest in WebAssembly.
- C/C++, Go, Rust or Scala experience is preferred
- Willingness to learn and apply ML Ops approach
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 OEMs supercharge awareness, acquisition, and monetization. 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 Team
Our Machine Learning Team plays a pivotal role to deliver on the Company mission. We are a group of research, data science, statistical modeling and machine learning experts driven by passion to solve complex problems and impact we make. We use cutting edge technologies to turn the data into ML solutions deployed across our Products.
The Role & Opportunity
for You as a software Engineer We are currently looking for a software Engineer to support development of our brand new ML platform that handles TB datasets across over 2B mobile devices to support real time delivery of our ML models. In this role you will have the opportunity to develop your Software Engineering skills towards ML Engineering in low latency environments using technologies like Rust or WebAssembly, all shiny new. You will also benefit from working closely with data scientists and engineers throughout the whole life cycle of ML product development..
,[Develop and maintain inference microservice (Rust+Wasm) , Develop and maintain ETL, or other data pipelines, Contribute to the design and create ML projects that promote our company objectives, Manage and collaborate on cross-functional technology and data initiatives ] Requirements: Degree, Java, Kotlin, Scala, Rust, Go, C, C++, Apache Kafka, MLOps, Apache Flink, WebAssembly Tools: . Additionally: Private healthcare, Lunch card, International projects, Stock options, Bonus plan, Multisport card, Wellness days, Additional parental leave, Employee assistance program, Life insurance, Free coffee, Canteen, Bike parking, Free snacks, Free beverages, Free parking, Modern office, Startup atmosphere, No dress code, Free lunch, Team events.-
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