[Hiring] Staff Applied Scientist @Loopio Inc.

Role Description

Take your career to new heights with Loopio! 🚀✨ We’re hiring a Staff Applied Scientist to help build the knowledge and AI foundation behind Loopio’s products. This role is for someone who has built knowledge graphs and AI agents in production and wants to own the science behind them. As a Staff-level scientist, you’ll also set technical direction, mentor senior talent, and shape how applied ML is done across the team. This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am - 7:30 pm IST. This is a remote-first role where you can work from anywhere in India.

What You’ll Be Doing

• Applied Science
  • Design and build knowledge graphs that turn unstructured content into structured, reliable knowledge.
  • Build agents and agentic retrieval systems that find, check, and use that knowledge.
  • Use feedback from real users to keep knowledge accurate and improve results over time.
  • Define how we measure quality, and use those measures to decide what ships.
• Leadership & Collaboration
  • Set technical direction and make build vs. buy calls on tools and approaches.
  • Work with Product, Engineering, and other AI teams to turn research into features customers use.
  • Mentor engineers and data scientists, and set the standards for how the team runs experiments and ships models.

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, with experience shipping ML services to production.
• Experience setting technical direction and mentoring senior engineers and data scientists.
• Ability to explain technical trade-offs in terms of customer value.

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

• Your manager supports your development by providing ongoing feedback and regular 1-on-1s.
• You will have the opportunity to elevate your craft and explore your creativity, with a dedicated professional mastery allowance for more learning support.
• We’ll set you up to work remotely with a MacBook laptop, a monthly phone and internet subsidy, and a work-from-home budget.
• You’ll receive a Claude account to experiment with, automate routine tasks, and build tools.
• You’ll be joining a supportive culture with opportunities for connections in a remote-first environment.
• Participate in townhalls, AMA (Ask-Me-Anything), and company celebrations.
• Our four Employee Resource Groups offer opportunities for employees to learn and connect year-round.
• You’ll be a part of an award-winning workplace with an opportunity to make a big impact on the business.

Company Description

This is a remote-first opportunity with the advantages of working flexibly across India. We are HQ’d in Canada, with established hub regions around the world where we hire from. Our employees (or Loopers, as we call ourselves!) live and work in Canada, the US, India, and London. Our India/UK hub employees work according to the business hours stated in the job description above, designed to enable our global teams to have overlapping hours for collaboration.