Senior Machine Learning Engineer, DevOps/SRE

• Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments
• Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases
• Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases
• Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics
• Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure
• Partner with data scientists and ML engineers to improve platform usability, accelerate model iteration, and implement strong MLOps and SRE best practices
• Champion operational excellence across ML infrastructure through automation, resilience engineering, disaster recovery planning, and continuous improvement

• BS or MS in Computer Science, Engineering, or a related quantitative field
• 8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems
• Strong programming skills in Python and/or Scala or Java for platform automation and tooling
• Deep experience with Kubernetes and container orchestration on GCP (GKE) and/or AWS (EKS)
• Expertise with NoSQL or low-latency data stores such as Aerospike or similar technologies
• Hands-on experience with data and orchestration technologies such as Apache Spark, Apache Flink, Apache Airflow, and Kafka
• Experience building and maintaining CI/CD systems using tools such as Jenkins or GitLab Runner
• Familiarity with feature engineering platforms such as Chronon and model lifecycle tools such as MLflow
• Strong infrastructure-as-code experience with Terraform or similar tooling
• Experience with observability platforms such as Prometheus, Grafana, and Datadog
• Excellent communication and cross-functional collaboration skills

Experience in the Advertising domain is a plus

• global access to mental health and financial wellness support and resources
• healthcare (medical, dental, and vision)
• life, accident, disability, commuter, and retirement options (401(k)/pension)
• time off