Senior Machine Learning Engineer
Tasks
- Build machine learning training pipelines
- Consult on machine learning requirements and approach selection
- Deploy model serving platforms
- Design distributed training compute systems
- Design scalable multimodal data pipelines
- Develop retrieval-augmented generation systems
- Evaluate emerging machine learning techniques
- Fine tune foundation models with adapters
- Implement monitoring tools for ML systems
- Integrate and evaluate large language models
- Optimize quantize and deploy models for edge and embedded hardware
- Perform code reviews and write documentation
- Perform prompt engineering and benchmarking
- Translate prototypes into production systems
Perks/Benefits
- 401k eligibility
- Annual cash bonus
- Dental insurance
- Medical insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AWS Batch | AWS Bedrock | AWS ECS | Amazon S3 | Amazon SageMaker | C plus plus | C# | CI/CD | CUDA | DVC | Data Pipelines | Distributed Training | Docker | Kubernetes | Language Models | Large Language Models | LiteRT | LoRA | MLOps | MLflow | Machine Learning | Model Monitoring | Model Serving | Multimodal Data | ONNX | Prompt engineering | Pruning | PyTorch | Python | QLoRA | Quantization | Retrieval-Augmented Generation | TFLite | TensorFlow | Vertex AI | Weights and Biases
Education
Regions
Countries
States
Cities
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