Senior Machine Learning Engineer
Tasks
- Build RAG pipelines
- Deploy production AI systems
- Design agentic workflows
- Develop multimodal AI systems
- Fine-tune ML models
- Implement knowledge distillation
- Implement pruning
- Implement quantization
- Integrate vector databases
- Optimize distributed inference
- Optimize model performance
- Productionize ML models
Perks/Benefits
- 401k match
- Continuing education support
- Function health subscription
- Health & wellness stipend
- Health, dental, vision benefits
Skills/Tech-stack
Audio Processing | CUDA | ChromaDB | Computer Vision | Distributed Computing | Edge AI | Faiss | Federated Learning | GPU Computing | Hugging Face | Hugging Face Transformers | Knowledge Distillation | Language Processing | LoRA | Machine Learning | Microservices | Milvus | Multimodal Models | Natural Language | Natural Language Processing | Offline Inference | PEFT | Pinecone | Pruning | PyTorch | Quantization | Retrieval-Augmented Generation | TensorFlow | Vector Database
Education
N/A
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