Machine Learning Engineer, Proactive
Tasks
- Apply research to production ready technologies
- Conduct machine learning research and development
- Design and implement entity linking
- Develop fine tune and evaluate large language models
- Develop ranking and retrieval systems
- Evaluate hallucination reduction and factual accuracy
- Fine tune domain specific large language models
- Implement safety guardrails
- Perform query understanding
- Stay updated on deep learning research
- Translate product requirements into modeling tasks
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | Deep learning | Efficient Fine Tuning | Factuality Evaluation | Fine Tuning | GRPO | Hallucination reduction | JAX | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Natural Language | Natural Language Processing | PPO | Parameter efficient fine-tuning | Preference optimization | Prompt engineering | PyTorch | Python | RAG | RLHF | Reinforcement Learning | Retrieval-Augmented Generation | Reward Modeling | Safety Guardrails | Supervised Fine Tuning | TensorFlow
Education
Regions
Countries
States
Cities
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