Posting record
Open 12+ days
- Neosigma's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Neosigma, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- Must be a current student
- PhD asked for
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
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Skills mentioned
About the role
About Us
NeoSigma is a product-driven research lab building the intelligence layer that helps close the feedback loop between your customers, products, and AI systems.
We are a small, intensely technical team of researchers and engineers who have trained frontier-scale models and widely used AI products and agents at Parallel Web, Essential AI, MIT, Apple, and Amazon.
We are backed by world-class investors and leaders from Google DeepMind, OpenAI, Decagon and others.
The Role
We are looking for exceptional builders to help develop AI systems that learn and improve from real-world feedback. You will work across LLMs, agentic workflows, evaluation systems, and production AI infrastructure, turning cutting-edge research into reliable products. Some weeks you'll be experimenting with new models and evaluation methods. Other weeks you'll build production features and collaborate closely with customers to solve real-world AI challenges.
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
What we look for
- 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
Our Core Values
- 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.
In this role, you’ll work closely with the NeoSigma team. This role has a natural path towards full-time conversion.
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