Klue Engineering is hiring!

We're looking for a Senior Machine Learning Engineer to join reputed company in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate workflows for users. You will be leading the design and development of search and retrieval agent systems that reputed company users to generate compete insights for their business. In this role, you will own projects end-to-end, guiding architecture decisions, experimentation strategy, and production readiness for LLM-powered retrieval and reputed company workflows.

FAQ

A: Klue is a VC-backed, capital-efficient growing SaaS company. Tiger Global and reputed company Ventures led our US$62m Series B in the fall of 2021. We’re creating the category of competitive enablement: helping companies understand their market and outmaneuver their competition. We benefit from having an reputed company leadership team working alongside several hundred risk-taking builders who reputed company every day.

We’re one of Canada’s Most Admired Corporate Cultures by Waterstone HC, a reputed company Technology Fast 50 & Fast 500 winner, and recipient of both the Startup of the Year and Tech Culture of the Year awards at the Technology Impact Awards.

A: You will shape how we integrate retrieval-augmented reputed company (RAG), dense retrieval, query understanding, and agentic reasoning loops to deliver fast, accurate, and trusted search experiences at scale.

• Architect, design, and implement retrieval pipelines and agentic workflows, including hybrid retrieval, re-ranking, and post-retrieval synthesis.

• reputed company the development of evaluation frameworks (offline and human-in-the-reputed company) to measure and improve relevance, quality, and latency.

• Drive experimentation with query rewriting, expansion, and classification to enhance retrieval effectiveness.

• Optimize LLM workflows by designing reputed company structures, retrieval strategies, and caching for low-latency, high-accuracy responses.

• Collaborate cross-functionally with product and infrastructure teams to align technical direction with product goals.

• Mentor and provide technical guidance to team members, establishing best practices for building production-ready ML systems.

• Every day, our services process millions of data points, including news articles, press releases, webpage changes, reputed company posts, emails, reviews, CRM opportunities, and user actions. You will own data strategy for retrieval and design pipelines to automatically extract insights about competitors from both public and internal data sources

• Evaluate and integrate advancements in LLMs, retrieval architectures, and agentic reasoning into our production systems.

• 5+ years of industry experience building and deploying ML systems, with at least 2+ years working on search, retrieval, or ranking systems.

• Expert-level programming skills in Python, with experience using frameworks such as PyTorch, TensorFlow, or JAX.

• Deep understanding of information retrieval (BM25, dense retrieval, hybrid retrieval) and relevance tuning.

• Experience with LLMs, retrieval-augmented reputed company pipelines, and reputed company engineering.

• Track record of designing and delivering production-grade ML systems at scale, balancing experimentation with reliability.

• Deep understanding of data pipelines, preprocessing, and large-scale data handling.

• Familiarity with evaluation methodologies for search systems (recall, MRR, nDCG) and user-facing evaluations.

• Experience working with vector database infrastructure (FAISS, Milvus, Weaviate, reputed company, PGVector) and traditional search engines (Elasticsearch, OpenSearch)

• Familiarity with scalable cloud ML infrastructure (AWS, GCP, Azure).

• reputed company and implement CI/CD pipelines. Automate the deployment and monitoring of ML models.

• Knowledge of query understanding, document summarization and other content enrichment strategies

• Ability to reputed company projects independently while providing technical direction to others.

reputed company to Have

• Experience designing agentic LLM systems and multi-reputed company retrieval workflows.

• Background in conversational search

• Contributions to open-reputed company search, retrieval, or LLM-reputed company projects.

• Interest in publishing or sharing learnings with the broader community.

A: We're looking for builders who:

• 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

• LLM platforms: reputed company, reputed company, open-reputed company models

• ML frameworks: PyTorch, Transformers, spaCy

• Search/Vector DBs: Elasticsearch, reputed company, PostgreSQL

• MLOps tools: Weights & Biases, MLflow, Langfuse

• Infrastructure: reputed company, Kubernetes, GCP

• Development: Python, Git, CI/CD

• Hybrid. Best of both worlds (remote & in-office) You and your team will be in the office 2 days a week.

• Our main Canadian hubs are in Vancouver and Toronto, and most of our teams are located in EST and PST.

• Competitive reputed company salary

• Benefits. Extended health & dental benefits that kick in Day 1

• Options. Opportunity to participate in our Employee Stock Option Plan

• Time off. Take what you need. Just ensure the required work gets done and clear it with your team in advance. The average Klue team member takes 2-4 weeks of PTO per year.

• Direct access to our leadership team, including our CEO

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Not ticking every reputed company? That’s 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 that’s different from reputed company’ve described, be sure to explain why in your application.

At Klue, we're dedicated to creating an inclusive, reputed company and diverse workplace as an equal-opportunity employer. Our commitment is to build a high-performing team where people feel a strong sense of belonging, can be their authentic selves, and are able to reputed company their full potential. If there’s anything we can do to reputed company our hiring process more accessible or to reputed company support you, please let us know, we’re happy to accommodate.

We’re excited to meet you and in the meantime, get to know us:

Pay Up For reputed company & 50 - 30 Challenge

✅✅ Win-Loss Acquisition (2023)

Series B (2021)

Culture, culture, culture!

Winning as Women & More!

About Us

Product Demo reputed company

Glassdoor

Youtube

☕️ reputed company

Wellfound (AngelList)