Lead Machine Learning Engineer
Launch PotatoFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Digital Turbine operates in a hybrid work environment, and only candidates local to the posting location will be considered.
Candidates need 3+ years of experience in data science or ML, good coding skills in Python and SQL, experience with cloud computing preferably GCP, and familiarity with Spark. Experience in AdTech or Mobile Gaming is a strong advantage.
You will work with GCP/Google Big Query, Databricks and Spark, Python and ML libraries, PyTorch and PyTorch Lightning, and experiment management platforms like MLFLOW and Optuna.
The Machine Learning Team consists of research, data science, statistical modeling, and machine learning experts driven by passion to solve complex problems and make an impact, using cutting-edge technologies to turn data into ML solutions.
A strong candidate has 3+ years in data science/ML, preferably with AdTech or Mobile Gaming experience, solid Python/SQL skills, GCP and Spark familiarity, and the ability to build/deploy ML models at scale while collaborating with the team.
Mobile growth platform for advertising monetization
Digital Turbine enhances advertising and monetization for clients such as advertisers, publishers, carriers, and OEMs through its mobile growth platform. The company uses proprietary technology that is integrated directly into devices by wireless operators and OEMs, allowing for efficient ad delivery. This setup maximizes revenue opportunities for its clients by providing a comprehensive ad stack. Unlike many competitors, Digital Turbine focuses on seamless integration and value-added services that drive mobile growth. The company's goal is to generate revenue through partnerships and service fees while maintaining a global presence.