Loopio
SaaS • B2B • Productivity
Loopio is a leading provider of RFP (Request for Proposal) software, designed to streamline and enhance the proposal management process for businesses. The platform leverages powerful AI capabilities to automate response workflows, manage content, ensure data security, and integrate seamlessly with existing CRM systems like Salesforce. Loopio supports teams in creating accurate, timely proposals, security questionnaires (SQ), and due diligence questionnaires (DDQ), facilitating collaboration and improving efficiency across industries such as software, healthcare, and financial services. Trusted by over 1,500 companies, Loopio is recognized for its innovative approach to content management and superior customer support, rated highly by users on platforms like G2. By offering tools for content automation and a secure library, Loopio helps teams respond faster and with greater accuracy, ultimately winning more business.
Staff Applied Scientist
Job not on LinkedIn
September 13
Loopio
SaaS • B2B • Productivity
Loopio is a leading provider of RFP (Request for Proposal) software, designed to streamline and enhance the proposal management process for businesses. The platform leverages powerful AI capabilities to automate response workflows, manage content, ensure data security, and integrate seamlessly with existing CRM systems like Salesforce. Loopio supports teams in creating accurate, timely proposals, security questionnaires (SQ), and due diligence questionnaires (DDQ), facilitating collaboration and improving efficiency across industries such as software, healthcare, and financial services. Trusted by over 1,500 companies, Loopio is recognized for its innovative approach to content management and superior customer support, rated highly by users on platforms like G2. By offering tools for content automation and a secure library, Loopio helps teams respond faster and with greater accuracy, ultimately winning more business.
📋 Description
• 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)
🏖️ Benefits
• Your manager supports your development by providing ongoing feedback and regular 1-on-1s via Lattice • Dedicated professional mastery allowance for learning and development • Health and wellness benefits starting day 1 • MacBook laptop provided for remote work • Monthly phone and internet subsidy • Work-from-home budget to set up home office • Flexible co-working locations available in Toronto (ON) and Vancouver (BC) • Remote-first workplace with asynchronous collaboration and flexible core sync hours • Townhalls, AMA sessions, and quarterly celebrations • Four active Employee Resource Groups • Supportive, award-winning workplace that encourages experimentation and creativity
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