Senior Staff Machine Learning Engineer
Core
Architect and lead the development of large-scale machine learning platforms and services supporting model training, deployment, and lifecycle management for the automotive retail ecosystem.
Role type
Senior Staff IC Machine Learning Engineer (MLOps & Infrastructure)
Builds
Scalable ML infrastructure, MLOps pipelines, and productionized ML systems for automotive OEMs, retailers, and partners.
Domain
Automotive retail / Cloud-native AI / MLOps
Deliverable
production ML models | infrastructure
Required skills
Python, TensorFlow, PyTorch, Scikit-learn, distributed systems, cloud platforms (AWS, GCP, Azure), Kubernetes, MLOps tools, CI/CD workflows, real-time and batch inference optimization
Preferred skills
Mentoring senior engineers, cross-functional architectural strategy, evaluating new ML technologies
Technologies
TensorFlow, PyTorch, Scikit-learn, Kubernetes, AWS, GCP, Azure
Responsibilities
Architect large-scale ML platforms; Collaborate with Data Science and Product teams to productionize models; Define and implement MLOps best practices; Lead technical decision-making for platform evolution; Optimize inference systems; Mentor senior-level engineers
Seniority
Senior Staff, hands-on IC with leadership and architecture focus
