[2026] Senior Machine Learning Engineer, AI Platform - PhD Early Career
Tasks
- Build AI platform systems
- Build distributed inference systems
- Deploy optimized ML models at scale
- Design ML training and inference control planes
- Develop agentic systems with context engineering
- Develop model serving and model registry components
- Implement generative AI information retrieval
- Improve ML tooling and developer experience
- Orchestrate ML pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent evaluation | Agentic Systems | Azure | Cloud Computing | Context engineering | Distributed Systems | Feature Stores | Fine Tuning | GCP | GNN | Graph Databases | Graph Neural Networks | High Availability | High-availability systems | Information Retrieval | Knowledge graphs | Kubernetes | LLM Fine-tuning | Language Models | Large Language Models | Machine Learning | Neural Networks | Reinforcement Learning | Vector Databases
Education
Regions
Countries
States
Cities
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