Seyuna is building the intelligence layer for how companies understand their data. We connect every tool in your stack into a living knowledge graph and let anyone query it in plain language. No exports, no dashboards, no waiting on analysts. Just answers.
Ask and Pulse only work because the models behind them understand the data they are looking at, not just the words used to describe it.
About the Role
We are looking for an ML Engineer who wants to work on the models that translate plain language into precise queries, and the systems that learn what normal looks like for a business so they can catch what is not.
What You Will Work On
- Improve the schema-aware query translation models behind Ask
- Build and refine the adaptive baseline models that power Pulse anomaly detection
- Design evaluation frameworks that reflect real customer data
- Work on entity resolution and relationship inference for Cortex
- Partner with backend engineers on low-latency model serving
What We Are Looking For
- 4 or more years of experience building and shipping ML systems
- Strong fundamentals in NLP, information retrieval, or anomaly detection
- Experience working with noisy, heterogeneous, real-world data
- Proficiency in Python and modern ML frameworks
- A bias toward simple, explainable models
What We Offer
- Competitive salary and meaningful equity
- Fully remote with no required timezone
- 25 days paid vacation plus local public holidays
- 5,000 USD annual learning and development budget
- Home office stipend to set up a workspace that works for you
- Health, dental, and vision coverage
- Annual team offsite
- Extended equity exercise window