Staff Applied Scientist

The role

The Staff Applied Scientist will build knowledge graphs and AI agents to support the knowledge and AI foundation of Loopio's products. This role involves setting technical direction, mentoring senior talent, and collaborating with global teams to turn research into customer features.

What you will do

• Design and build knowledge graphs that turn unstructured content into structured, reliable knowledge.
• Build agents and agentic retrieval systems.
• Use feedback from real users to improve results and knowledge accuracy.
• Define and use quality measures to decide what ships.
• Set technical direction and make build vs. buy calls on tools and approaches.
• Work with Product, Engineering, and AI teams to turn research into features.
• Mentor engineers and data scientists.
• Set standards for how the team runs experiments and ships models.

Required qualifications

• 8+ years applying ML in production.
• Strong background in NLP and LLMs.
• Experience with RAG is expected.
• Experience with finetuning LLM and classical ML is expected.
• Track record of designing evaluations and using them to decide what ships.
• 3+ years building knowledge graphs in production, including ontology design, information extraction, and entity resolution.
• Experience with graph databases (e.g., Neo4j) and query languages like Cypher.
• 3+ years building LLM-based agents in production, including planning, tool use, and orchestration.
• Experience making agents reliable through evaluation, guardrails, and human review.
• Strong Python and software engineering skills.
• Experience shipping ML services to production.
• Experience setting technical direction and mentoring senior engineers and data scientists.

Nice to have

• Experience with graph neural networks or knowledge graph embeddings.
• Published work or open-source contributions in knowledge graphs, information extraction, or agents.

Benefits

• Professional mastery allowance for learning support.
• MacBook laptop.
• Monthly phone and internet subsidy.
• Work-from-home budget.
• Claude account for experimentation.
• Access to Employee Resource Groups.

Before you apply

• Candidates are expected to refrain from using AI-generated content to produce responses during live interviews.
• For roles with a take-home assignment, the final submission must be a true reflection of personal insights and skills.

About the company

Loopio is an award-winning workplace with a remote-first culture. They are HQ'd in Canada and have established hub regions in the US, India, and the UK.