Our client is seeking a Full Stack Engineer for a temporary, remote opportunity. This role builds and operates a high-scale ML orchestration platform that supports online inference, model evaluation, and reliable access to serving infrastructure. There is no application deadline for this role. *Full Stack Engineer Responsibilities:* * Build and operate distributed, low-latency production services for ML workloads. * Develop orchestration systems connecting product teams with models, features, and serving infrastructure. * Design service APIs and request-routing systems using technologies such as gRPC and queues. * Operate Kubernetes deployments, including scaling, resource management, and production debugging. * Monitor and improve service reliability through metrics, tracing, alerting, on-call ownership, and performance profiling. *Full Stack Engineer Qualifications:* * At least 5 years of experience building and operating distributed, low-latency production services. * Back-end engineering experience working on ML systems. * Expertise with the Scala programming language or another functional programming language. * Understanding of production ML inference, including model serving, feature retrieval, batching, latency, throughput, and model evaluation. * Hands-on Kubernetes experience, including deployments, scaling, resource management, and production troubleshooting. *Perks and Benefits:* * Medical, Dental, and Vision Insurance. * Life Insurance. * 401(k) Program. * Commuter Benefit. * eLearning and Ongoing Training. * Education Reimbursement. Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks. If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.