Machine Learning Engineer, API Multicloud
Core
Build and improve AI systems helping strategic partners adapt OpenAI models to use cases in cloud-native environments, focusing on post-training, evaluation, and API/infrastructure integration.
Role type
Senior IC machine learning engineer (model customization & post-training)
Builds
Production ML systems for model customization, post-training, and fine-tuning-as-a-service workflows
Domain
Cloud-native AI infrastructure, large language model post-training, and developer platforms
Deliverable
production ML models
Required skills
Deep learning, transformer models, PyTorch, TensorFlow, supervised fine-tuning, distillation, preference optimization, reinforcement learning, data structures, algorithms, systems design, Python, Rust, distributed systems, cloud infrastructure
Preferred skills
AWS, Kubernetes, agents, tool use, runtime environments, AI developer platforms, speech models
Responsibilities
Partner with customers to define target model behaviors and diagnose failure modes; Build and scale production ML systems for model customization and post-training; Investigate training outcomes and identify improvements to data, evaluation, or infrastructure; Integrate ML capabilities into AWS-native API environments; Feed learnings back into platform improvements; Collaborate with Research and Applied teams to bring model improvements to production; Design systems for safe model customization; Debug complex systems spanning model behavior, training data, APIs, and infrastructure.
Seniority
Senior, hands-on IC
