Senior Machine Learning Engineer
Digital Turbine, Inc.26 days ago
Responsibilities
- Design, build, and deploy large-scale ML systems for ad ranking, click-through and conversion prediction, bid optimization, and next-best-action recommendation.
- Build and operate production ML pipelines covering feature engineering, distributed training, deployment, retraining, and monitoring across billions of events.
- Use unified device-level data and broad product data assets to enable real-time decisioning and user-level predictions.
- Optimize distributed training and inference for CPU/GPU utilization, latency, and cost.
- Partner with Data Science, Data Engineering, and product teams to ship models and run online experiments that improve business metrics.
- Apply current ML research to advertising, ranking, and audience modeling.
Requirements
- 8+ years of experience building and deploying production ML systems at scale, ideally in AdTech, recommender systems, search/ranking, or real-time bidding.
- Strong software-engineering fundamentals in data structures, algorithms, and system design, with proficiency in Python.
- Experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with distributed data and compute systems such as Spark, Beam/Dataflow, or Flink.
- Hands-on experience building robust ML pipelines with feature stores, data versioning, model monitoring, and automated retraining.
- Demonstrated record of shipping models that improved product or business metrics such as CTR, CVR, or ROAS.
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- Java, Scala, or C++ experience is a strong plus.
- Experience with real-time, low-latency model serving and online learning is preferred.
- Familiarity with Databricks, Unity Catalog, semantic layers, or feature platforms is preferred.
- Experience with LLMs and agentic systems applied to audience insight or optimization is preferred.
Benefits
- Hybrid work environment; only candidates local to the posting location will be considered.
- Equal opportunity employer committed to diversity, inclusion, and an inclusive, equitable, and culturally fluent workplace.
Tech Stack
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