Data Scientist (Remote)
Tasks
- Benchmark agentic systems with evals
- Build LLM as judge pipelines
- Build tool and function calling
- Collaborate with engineering to productionize prototypes
- Design agent workflows
- Implement retrieval and memory
- Optimize prompts and inference
- Post train LLMs and agents
- Prototype agentic planning methods
- Research AI developments for cybersecurity
- Train generative models
Perks/Benefits
- Employee networks
- Great Place to Work certified
- Office culture
- Paid adoption leave
- Paid parental leave
- Professional development
- Remote work
- Vacation and holidays
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
Abuse Resistance | Agent safety | Agentic Planning | Data scaling | DeepSpeed | Evals | Experiment tracking | Experimental Design | FSDP | Function Calling | GPUs | Generative Models | Hugging Face | Hugging Face Transformers | Inference Optimization | Jailbreak Resistance | LLM Training | Language Models | Large Language Models | Machine Learning | Memory | Policy Optimization | Probability | Prompt Optimization | PyTorch | Python | RLHF | React | Reinforcement Learning | Reliability Engineering | Retrieval | Reward Modeling | Sandboxing | Statistics | Tokenization | Tool-Calling | VLLM
Roles
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