Data Scientist
Summary
Build and deploy AI/ML systems, LLM applications, and multi-step AI workflows while collaborating with engineering, security, and research teams to drive impact.
- Bridge research to production APIs tools or workflows
- Build and validate LLM applications and embeddings systems
- Collaborate with product engineering security and research teams
- Communicate recommendations to technical and non technical stakeholders
- Design experiments and evaluation pipelines
- Develop multi step AI workflows and agents
- Ensure data privacy compliance and ethical use
- Lead applied AI projects from concept to impact
- Monitor model reliability accuracy and business impact
- Prototype validate and deploy machine learning solutions
Perks/Benefits:
- Diversity and inclusion working groups
- Flexible working practices
- Paid volunteer time off
- Parental leave