Applied Research - Evals & Data
Tasks
- Build evaluation pipelines for model reasoning and robustness
- Create data capture processing and versioning workflows
- Deploy containerized services for scalable training and inference
- Design and iterate AI agents for real workloads
- Develop distributed systems for agent execution
- Implement observability and monitoring for production reliability
- Implement post training reinforcement learning methods
- Integrate applied data collection into post training
- Prototype multi-agent and memory-augmented systems
Perks/Benefits
- Conference attendance
- Professional development budget
- Relocation support
- Remote work
- Team offsites
- Visa sponsorship
Skills/Tech-stack
Accelerate | Data Pipelines | Data Versioning | Distributed Systems | Distributed tracing | Docker | Evaluation Frameworks | GRPO | Grafana | Hugging Face | Human Feedback | Kubernetes | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Prometheus | RLHF | RLVR | Ray | Reinforcement Learning | Reinforcement Learning from Human Feedback | SGLang | Terraform | VLLM
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Research Engineer
Regions
Countries
States
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