Senior Engineer - Machine Learning
San Diego, California, United States of America
USD 140K-211K Senior-level Full Time
Tasks
- Benchmark and profile models
- Build and maintain deployment workflows
- Build machine learning pipelines
- Collaborate on system architecture
- Deploy scalable machine learning infrastructure
- Design data pipelines
- Design machine learning models
- Develop model serving infrastructure
- Evaluate and debug models
- Implement batching
- Implement caching
- Implement quantization
- Improve data quality
- Integrate machine learning models into APIs
- Optimize model inference cost
- Optimize model inference latency
- Optimize model inference throughput
- Perform feature engineering
- Validate data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | C++ | CI/CD | Caching | Deep learning | Distributed Computing | Docker | Dynamic batching | Embeddings | Feature Engineering | GPU Acceleration | Go | KV cache | Kubernetes | LLM | Language Models | Large Language Models | Machine Learning | Microservices | Model Evaluation | Model Serving | ONNX | OpenSearch | PyTorch | Python | Qdrant | Quantization | RAG Pipelines | Retrieval-Augmented Generation | Rust | Supervised Learning | TensorFlow | Transformer | Unsupervised Learning | Vector Databases | Vector Search
Education
Regions
Countries
States
Cities
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