Staff Software Engineer, AI/ML
Tasks
- Build evaluation frameworks for quality and safety
- Communicate complex AI systems to stakeholders
- Design learning loops for agents
- Own feedback learning roadmap
- Partner with product and engineering for productionization
- Run large scale experiments to measure impact
- Set technical direction for modeling and experimentation
- Translate user feedback into training strategies
Perks/Benefits
- Conference reimbursement
- Education reimbursement
- Employee assistance program
- Employee stock purchase program
- Equity compensation
- Flexible time off
- Hybrid work option
- LinkedIn Learning access
- Local Employee Meetups
- Training reimbursement
Skills/Tech-stack
AI Feedback | Agentic AI | Data Pipelines | Direct Preference Optimization | Experimentation platforms | Fine Tuning | GenAI | Graph Relative Policy Optimization | Human Feedback | LLM Observability | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Model Evaluation | Model Serving | Offline experimentation | Online Experimentation | Policy Optimization | Preference optimization | Proximal Policy Optimization | Python | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Reward Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI/ML Engineer | Engineer | ML Engineer | Staff AI & ML Engineer
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