Machine Learning Engineer II , AI Studios
Tasks
- Automate evaluation pipelines
- Build ML training infrastructure
- Build training and fine tuning pipelines
- Design deploy and operate ML inference workloads
- Design deploy and operate ML training workloads
- Improve GPU utilization throughput and latency
- Integrate generative ML models into inference pipelines
- Monitor and alert model endpoints
- Operate ML serving infrastructure
- Optimize distributed training and inference performance
- Participate in design and code reviews
- Write clean, well-tested code
Perks/Benefits
- N/A
Skills/Tech-stack
Adobe Animate | After Effects | Alerting | Amazon EKS | Amazon SageMaker | Autodesk Maya | Autoscaling | Batching | Checkpointing | Code Reviews | Distributed Training | Evaluation | GPU scheduling | Gang Scheduling | Generative AI | Human-in-the-loop | Kubernetes | Machine Learning | Model Inference | Model Serving | Model compilation | Monitoring | Object-Oriented | Object-oriented design | Quantization | Resource Quotas | Storyboarding Pro | The Loop
Education
Regions
Countries
States
Cities
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