Machine Learning Engineer 5
Tasks
- Build evaluation datasets benchmarks and harnesses
- Build inference and reasoning harnesses for LLMs
- Design LLM powered systems for synthetic audiences end to end
- Fine tune LLMs on survey panel and behavioral data
- Improve model alignment with real world audience distributions
- Partner with product and engineering to ship research into product features
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Systems | Algorithms | Azure | Cloud ML | Cloud ML services | DPO | Data Structures | Fine Tuning | GRPO | Google Cloud | Hugging Face | ML services | MLOps | MLOps pipelines | Preference optimization | PyTorch | Python | RAG | RLAIF | RLHF | Reinforcement Learning | Retrieval-Augmented Generation | Supervised Fine Tuning | VLLM | Weights and Biases
Education
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