Job Title

Join to apply for the Machine Learning Engineer, AI/ML role at Klue . Base Pay Range CA$155,000.00/yr - CA$180,000.00/yr At Klue, We''''re Building the Future of Competitive Intelligence. Klue Engineering is hiring! We''''re looking for a Machine Learning Engineer to join our team in Toronto, focusing on building and optimizing stateoftheart LLMpowered agents that can reason, plan and automate workflows for users. You''''ll be joining us at an exciting time as we reinvent our insight generation systems, making this an excellent opportunity for someone with strong backend and ML fundamentals who wants to dive deep into practical LLM applications. What Youll Do Design and implement retrievalaugmented generation (RAG) systems with agentic workflows to refine query understanding, document retrieval, and response synthesis. Build and optimize retrieval pipelines using BM25, dense retrieval, hybrid retrieval, and reranking approaches. Develop evaluation pipelines for retrieval and generation, including offline metrics (recall, MRR, nDCG) and humanintheloop evaluations. Experiment with query rewriting, expansion, and classification to improve retrieval relevance. Collaborate closely with Product to bring MLpowered search agents into production. Profile, debug, and optimize the latency, accuracy, and scalability of retrieval and generation components. Contribute to the design of data pipelines for training retrieval and ranking models, including dataset curation, augmentation, and labeling workflows. Stay up-to-date with advancements in LLMs, retrieval techniques, and agent architectures, evaluating opportunities to integrate them into our systems. What You Bring 5+ years of software engineering experience. Experience with information retrieval systems, search relevance, and ranking models. Expertise in Python, with experience in frameworks such as PyTorch, TensorFlow, or JAX. Familiarity with LLMs, prompt engineering, and retrievalaugmented generation pipelines. Understanding of evaluation methods for search systems, including offline metrics and userfacing evaluation. Experience working with vector database infrastructure (FAISS, Milvus, Weaviate, Pinecone, PGVector) and traditional search engines (Elasticsearch, OpenSearch). Understanding of data pipelines, preprocessing, and largescale data handling. Ability to work independently and collaboratively in a fastpaced environment, balancing research and production needs. Develop and implement CI/CD pipelines. Automate the deployment and monitoring of ML models. Knowledge of query understanding, document summarization and other content enrichment strategies. Expertise in automated LLM evaluation, including LLMasjudge methodologies. Skilled at prompt engineering including zeroshot, fewshot, and chainofthought. Experience with cloud infrastructure (AWS, GCP, Azure) for scalable ML workflows. Nice to Have Experience with agentic system design for LLM workflows. Background in conversational search. Contributions to opensource projects in the retrieval, NLP, or LLM ecosystems. What Success Looks Like Take ownership and run with ambiguous problems. Jump into new areas and rapidly learn what''''s needed to deliver solutions. Bring scientific rigor while maintaining a pragmatic delivery focus. See unclear requirements as an opportunity to shape the solution. Our Tech Stack LLM platforms: OpenAI, Anthropic, opensource models. ML frameworks: PyTorch, Transformers, spaCy. Search/Vector DBs: Elasticsearch, Pinecone, PostgreSQL. MLOps tools: Weights & Biases, MLflow, Langfuse. Infrastructure: Docker, Kubernetes, GCP. Development: Python, Git, CI/CD. Not ticking every box? Thats okay. We take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if thats different from what weve described, be sure to explain why in your application. At Klue, we''''re committed to building a highperforming team where people feel a strong sense of belonging, can be their authentic selves, and are able to reach their full potential. If theres anything we can do to make our hiring process more accessible or to better support you, please let us know were happy to accommodate. Why Klue Might Be the Perfect Fit For You At Klue, youll push the boundaries of whats possible. For yourself, your team, and our customers. The environment here feels more startup than corporate. Youll roll up your sleeves, build, iterate, and level up. This is a place where your ideas matter, you can shape what comes next, and leave your mark. If youre looking to join a categorydefining company where you own big outcomes, influence real customers, and work with smart, gritty people youll thrive here. How We Work At Klue We love the balance of connection and flexibility. We work hybrid , spending at least 23 days a week inoffice to collaborate, brainstorm, and build together. Our main hubs are in: Vancouver (HQ) Toronto London Our Commitment to You High Performance Culture. We reward high performance and growth through career development, coaching, and annual performance reviews. Comprehensive benefits: Extended health & dental coverage that starts on Day 1. Fun perks like discounts at Goodlife and Perkopolis are gravy. Ownership: All fulltime employees have the opportunity to participate in our Employee Stock Option Plan. Our Vacation Policy is Take The Time You Need. We just ask that you give notice and dont leave your team hanging. Toptier tools. All employees will receive a Mac (or PC, if thats your jam) and access to A+ tooling. AI First. All employees are encouraged to lean into AI to work smarter and faster. Built something cool lately? Show us at our Friday Show, Dont Tell Meetings. Growth / Leadership. Direct access to our leadership team, including our CEO, and opportunities to connect with incredible people across the company. Social connection. Theres no shortage of ways to stay connected and have fun. We get together once a year in Vancouver for a companywide kickoff. Throughout the year our Hubs hold regular social events. Dogfriendly spaces. Bring your fourlegged friend along in Vancouver or Toronto, as our offices are pupapproved. About Klue Were on a mission to help organizations stop losing winnable deals. Klues AI agents generate market, competitor, and buyer insights in a unified platform. We ensure its trustworthy, automated, and activated across every department, so they have the answers they need to own their market. Heres what makes us tick: Klue is AIfirst at its core. Its wired deep into our internal processes and tooling, powering our small but mighty team. It drives Klues autonomous agents that handle the heavy lifting for customers: collecting intel, generating insights, and ensuring content is updated and available across departments. Our agents help them scale their impact, stay ahead of the market, and reclaim the time that used to be consumed by manual, repetitive busywork. Competitor Insights. Klue helps revenue teams win more competitive deals by turning market, competitor, and buyer signals into insights teams can actually use. Our AI analyzes calls, CRM data, and real buyer feedback to give product marketers and sellers a clear picture of whats happening in their market and why deals are won or lost. Were a curious, collaborative team building a platform that helps companies compete with confidence, and were looking for people who want to do meaningful work alongside others who care about craft and impact. A culture of curiosity, ownership and winning together. Were a fastgrowing, globallydistributed team based in Vancouver (with hubs like Toronto), scaling quicker than ever. We value people who own their domain, act boldly, stay curious and thrive in a collaborative, highperformance environment. By submitting your application, you agree that Klue may collect your personal data for recruiting, global organization planning, and related purposes. Salary range: CA$155K - CA$180K Seniority level: MidSenior level Employment type: Fulltime Job function: Engineering & Information Technology Industry: Software Development #J-18808-Ljbffr