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Tier-1 brand, mid-level backend/ML role in metro with popular generalist title and broad skills.
Requires deep ML systems, MLOps, and distributed backend experience, limiting cross-industry transferability.
Explicit degree and years plus mandatory ML production, big data, and cloud stack requirements.
Design, build, and operate scalable backend and ML systems supporting sponsored ads, ranking, retrieval, and personalization at eBay scale.
Develop and maintain MLOps pipelines for continuous integration, delivery, training, validation, and monitoring of production ML models, including Generative AI models and LLMs.
Collaborate with Applied Researchers and cross-org teams to translate ML prototypes into robust, low-latency production systems serving millions of users.
MS in Computer Science or related field with 5+ years experience OR BS/BA with 7+ years in ML/AI/Data Engineering.
Strong software development skills in OO languages like Scala, Java, or Python and experience with big data distributed processing frameworks (Apache Hadoop, Spark, Flink).
Experience with ML frameworks (TensorFlow, PyTorch) in production and designing/managing CI/CD pipelines and containerization tools (Docker, Kubernetes).
Experience with cloud platforms (AWS, GCP, Azure) and building scalable distributed systems exposing RESTful or gRPC APIs.
Experienced in production-grade ML systems combining expertise in software engineering, big data, and MLOps pipelines.
Skilled at operationalizing state-of-the-art Generative AI and LLM models for high-throughput, low-latency environments.
Comfortable working cross-functionally with researchers and product teams to build scalable, monitored, and robust ML services in a 24/7 production environment.