Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Digital Turbine operates a hybrid work environment, and only candidates local to the posting location will be considered.
The role requires working knowledge of GCP/Google Big Query, Databricks and Spark, Python with ML libraries, PyTorch and PyTorch Lightning, and experiment management platforms like MLFLOW and Optuna.
Candidates need 5+ years of experience in data science/ML, a proven track record of projects with measurable business impact, experience in AdTech, Mobile Gaming, or Consulting as a strong advantage, and experience with team leadership highly desired.
The Machine Learning Team consists of research, data science, statistical modeling, and machine learning experts driven by passion to solve complex problems and make impactful contributions using cutting-edge technologies.
Strong candidates have 5+ years in data science/ML with business impact, team leadership experience, excellent communication skills, self-motivation, a relevant bachelor's degree, and proficiency in English.
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.