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Data Science8 days agoHybrid
Digital Turbine
Senior Machine Learning Engineer
machine learningml pipelinesad rankingbid optimizationrecommendation systemsreal-time biddingdistributed systemspythonpytorchtensorflowjaxsparkbeamdataflowflinkdatabricksfeature engineeringml monitoringctrcvrroasml research
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
New York, US
Full job description
Digital Turbine is seeking a Senior Machine Learning Engineer to design and scale ML systems for ad ranking, bid optimization, recommendation, and user-level prediction across multiple products. Responsibilities include building and operating production ML pipelines, optimizing training and inference for efficiency and latency, and collaborating with Data Science, Data Engineering, and product teams to deliver impactful models. Candidates should have 8+ years of experience deploying ML systems at scale, strong software engineering skills, proficiency in Python and optionally Java, Scala, or C++, experience with ML frameworks (PyTorch, TensorFlow, JAX), distributed data systems (Spark, Beam/Dataflow, Flink), and a record of improving business metrics. A Master's or Ph.D. in CS, ML, or related field is required. The role is hybrid and based in New York, NY.
What you'll do
- Design, build, and deploy large-scale ML systems for ad ranking, click-through and conversion prediction, bid optimization, and next-best-action recommendation
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