Loopio

Staff Applied Scientist

Loopio

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Job Level

Lead

Tech Stack

Distributed SystemsMicroservicesPythonPyTorchRaySparkTensorflow

About the role

  • Lead research-to-production efforts in NLP, LLMs, retrieval-augmented generation (RAG), multi-agent reasoning, and knowledge graph–driven solutions
  • Architect and deploy advanced ML models, including LLM fine-tuning, reasoning agents, and context-aware generation pipelines
  • Explore and adapt state-of-the-art research into production-ready prototypes
  • Build intelligent workflows that combine agentic planning, tool orchestration, and continuous feedback loops
  • Own scope, architecture, and delivery of scalable ML systems that support high-performance content retrieval and personalized answer generation
  • Design and integrate knowledge graphs, embeddings, and hybrid retrieval methods to improve coverage and precision
  • Build reliable services by combining software engineering fundamentals (Python, APIs, distributed systems) with modern ML frameworks
  • Ensure ML systems are production-ready, balancing cutting-edge research with scalability, maintainability, and performance
  • Drive end-to-end project plans for modeling initiatives, establish milestones, and ensure timely delivery
  • Collaborate with Product, Engineering, and Design to integrate ML capabilities into user-facing workflows and validate outcomes
  • Mentor senior engineers and data scientists, building depth in applied ML, NLP, and AI system design
  • Represent the ML/AI function in company-wide forums, shaping best practices and long-term roadmap priorities

Requirements

  • 6+ years of experience applying ML in production, with specialization in NLP, LLMs, RAG, agent workflows, and knowledge graphs
  • Demonstrated success in fine-tuning and deploying large-scale models, optimizing them for retrieval, reasoning, and personalized generation
  • Strong grounding in experimental design, evaluation methods, and advanced modeling techniques
  • Ability to set vision and strategy for applied ML and align with business/product objectives
  • Experience mentoring senior engineers and data scientists and influencing cross-functional priorities
  • Expertise in architecting large-scale ML systems combining retrieval, knowledge graphs, and agent orchestration
  • Strong fundamentals in Python, ML frameworks (PyTorch, TensorFlow), and distributed computing (Spark, Databricks, Ray)
  • Proven ability to build APIs, microservices, and integrations to bring ML models into production
  • Experience with retrieval-augmented generation, multi-agent reasoning, and knowledge-graph driven approaches
  • Product and business acumen: translate technical opportunities into customer value and ROI
  • Work authorization note: Loopio does not offer sponsorship and requires valid work permits / SIN to work in Canada (applicants must be eligible to work in listed hub regions)