Machine Learning Engineer
Tasks
- Build NLP extraction systems
- Build semantic search
- Collaborate with customers and engineers
- Create evaluation harness
- Define domain correctness metrics
- Design RAG architectures
- Develop hybrid retrieval
- Implement LLM prompting
- Implement vector storage
- Maintain data ingestion pipelines
- Perform fine-tuning
- Process and serve data at production scale
- Rerank retrieval results
Perks/Benefits
- 401k
- Dental insurance
- Flexible hours
- H1B sponsorship
- Health insurance
- Immigration support
- Onsite support
- Vision insurance
Skills/Tech-stack
Adapters | Contrastive Learning | Embeddings | Evaluation | Fine Tuning | Graph Learning | Hybrid retrieval | Kafka | Knowledge graphs | LoRA | Prompt engineering | PyTorch | Python | QLoRA | Ray | Reranking | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Semantic Search | Spark | Supervised Learning | TensorFlow | Tokenization | Transformers | VLLM | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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