Position: Data Scientist (Enterprise AI)
Type: Full-time
Compensation: $250K - $500K/yr
Location: Remote
Role Responsibilities
- Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.
- Surface, formalize, and prioritize system failure modes in real-world deployments to enhance system reliability.
- Design high-signal datasets and evaluation protocols to target identified weaknesses in AI systems.
- Run tight experimental loops to validate hypotheses and quantify improvements in system performance.
- Produce clear, decision-oriented analyses of system behavior and performance for stakeholders.
- Develop and benchmark agentic workflows, focusing on robustness and scalability to meet enterprise needs.
Requirements
- Have a Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
- Possess strong judgment for research signal quality, including data selection and evaluation design.
- Have experience designing datasets and evaluation frameworks for machine learning systems.
- Demonstrate the ability to translate ambiguous operational issues into structured research problems.
- Be familiar with reinforcement learning environments and/or agentic system evaluation.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage