Senior Machine Learning Engineer (Small Language Models)
Tasks
- Build training data curation labeling and synthetic data pipelines
- Collaborate with product and platform teams to integrate model use cases
- Coordinate transition of experiments into production
- Design distillation experiments for small language models
- Design evaluation frameworks and benchmarking approaches
- Design fine tuning experiments for small language models
- Evaluate model performance for accuracy reasoning and safety
- Integrate models with data pipelines and deployment workflows
- Operate model training frameworks and experimentation tooling
- Prototype optimization techniques for small language models
- Serve models using inference optimization techniques
Perks/Benefits
Skills/Tech-stack
AWS | Adapter-Tuning | Axolotl | Cloud Computing | Data labeling | FHIR | Fine Tuning | GPU resource management | Google Cloud | HIPAA | Hugging Face | Hugging Face Transformers | Inference Optimization | Knowledge Distillation | Language Processing | LoRA | Machine Learning | Model Quantization | NVIDIA Nemo | NVIDIA Triton | Natural Language | Natural Language Processing | PEFT | QLoRA | RLAIF | RLHF | Resource Management | Reward Modeling | Safety alignment | Synthetic data | VLLM | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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