Staff Applied Scientist - Vancouver - Loopio

    Loopio
    Loopio Vancouver

    3 days ago

    Description

    Staff Applied Scientist – Loopio


    Base pay range: CA$164,300.00 / yr – CA$219,000.00 / yr.

    We are looking for an accomplished Staff Applied Scientist to join the Library team within ProductOrg, leading the design and delivery of ML-driven capabilities that power the heart of Loopio's platform. This role is central to advancing how we retrieve content, generate high-quality and personalized answers, and enable intelligent agent workflows that transform customer efficiency and outcomes.

    As a Staff-level leader, you will not only solve complex technical problems but also mentor senior talent, influence product direction, and set best practices for applied ML across the organization.

    What You'll Be Doing

    • Advanced Modeling & Applied Science
      • 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, ensuring solutions are both innovative and practical.
      • Build intelligent workflows that combine agentic planning, tool orchestration, and continuous feedback loops to improve automation, personalization, and accuracy.
    • System Architecture & Engineering
      • Own the 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, precision, and context awareness.
      • Build reliable services by combining strong 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.
    • Delivery, Collaboration & Leadership
      • Drive end-to-end project plans for modeling initiatives, establish milestones, and ensure high-quality, timely delivery.
      • Collaborate with Product, Engineering, and Design teams to integrate ML capabilities into user-facing workflows, validate outcomes, and deliver measurable customer value.
      • 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, technical direction, and long-term roadmap priorities.

    What You'll Bring To The Team

    • Proven Expertise in Machine Learning, Language Models, and NLP
      • 6+ years of experience applying ML in production, with specialization in NLP, LLMs, RAG/RAC, 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.
    • Technical Leadership and Mentorship
      • Ability to set vision and strategy for applied ML, ensuring alignment with business and product objectives.
      • Experience mentoring senior engineers and data scientists, fostering technical rigor and scientific excellence.
      • Skilled in influencing cross-functional priorities and representing the ML/AI domain at the company level.
    • System Design, Scalability, and Software Engineering Rigor
      • Expertise in architecting large-scale ML systems that combine 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 that bring ML models into production with high reliability.
      • Track record of balancing cutting‑edge ML with pragmatic engineering practices for scale and sustainability.
    • Business and Product Acumen
      • Proven ability to partner with Product, Engineering, and Design leaders to translate technical opportunities into customer value.
      • Skilled at framing ML solutions in terms of user impact, ROI, and strategic advantage.
      • Experience shaping AI capabilities that improve answer accuracy, personalization, and workflow efficiency for end users.

    Where You'll Work

    • Loopio is a remote‑first workplace. HQ in Canada with hubs in the UK and India. Team members primarily in ON and BC, remaining within a 300 km radius of Toronto or Vancouver.
    • Remote work supported with dedicated MacBook, phone/internet subsidy, and work‑from‑home budget.
    • Collaborate virtually across the UK, India, and North America with core sync hours and focus time for deep work.

    Benefits

    • Developing professional mastery allowance and ongoing learning support.
    • Health and wellness benefits from day one.
    • Supportive remote-first culture with events such as townhalls, AMA, quarterly celebrations, and active Employee Resource Groups.
    • Award‑winning workplace with opportunities to make a big impact on business.

    Equal Opportunity


    Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. If you require accommodations during our virtual interview processes, please contact the Talent Experience team at

    Seniority Level


    Mid-Senior Level

    Employment Type


    Full-time

    Job Function

    • Research, Analyst, and Information Technology
    • Software Development

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