Member of Technical Staff - Intern
NeoSigma
What you'll do:
- Design and implement LLM-powered systems and scalable agentic workflows in production
- Work on open-ended problems in self-improving AI: agentic systems, auto-evals, verifier research, and benchmarks
- Build robust data processing pipelines for evaluation datasets and feedback loops
- Run experiments, iterate fast, and push ideas from hypothesis to working system
- Work closely with customers and the core team to deeply understand workflows and deliver meaningful impact
- Publish findings through technical blogs, research papers, or open artifacts that strengthen our technical foundation
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Engineering, or a related field
- Hands-on experience building LLM-powered or agentic systems, in production or research settings
- Strong research taste, especially in evaluation design, post-training methods, and model improvement workflows
- Desire to own problems end-to-end, from first idea to shipped artifact
- Obsession with detail across research rigor, code quality, and clean modular design
- Comfortable working directly with a small, fast-moving team
- Customer Obsession - We start with the customer and work backwards. We aim to earn trust through consistent delivery, thoughtful listening, and by obsessing over customers.
- Intellectual Honesty - We operate with high trust and low ego. Ideas matter more than titles, and we communicate openly and directly while assuming good intent, even in strong disagreement.
- Bias for Action - We set high standards and move quickly to meet them. We prefer building and learning with customers over debating in the abstract, and we iterate based on real feedback.
- Extreme Ownership - We take responsibility for outcomes, not just tasks. Ownership means seeing problems through to completion and ensuring solutions truly work in practice.
Vacancy posted 1 day ago
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