Machine Learning Engineer, AI/ML at Klue

Toronto, Ontario, Canada

Apply Now

CA$155,000 – CA$180,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Technology, AIIndustries

Requirements

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 retrieval-augmented generation pipelines
Understanding of evaluation methods for search systems, including offline metrics and user-facing evaluation
Experience working with vector database infrastructure (FAISS, Milvus, Weaviate, Pinecone, PGVector) and traditional search engines (Elasticsearch, OpenSearch)
Understanding of data pipelines, preprocessing, and large-scale data handling
Ability to work independently and collaboratively in a fast-paced 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 LLM-as-judge methodologies
Skilled at prompt engineering - including zero-shot, few-shot, and chain-of-thought
Experience with cloud infrastructure (AWS, GCP, Azure) for scalable ML workflows
Nice to Have: Experience with agentic system design for LLM workflows

Responsibilities

Design and implement retrieval-augmented 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 re-ranking approaches
Develop evaluation pipelines for retrieval and generation, including offline metrics (recall, MRR, nDCG) and human-in-the-loop evaluations
Experiment with query rewriting, expansion, and classification to improve retrieval relevance
Collaborate closely with Product to bring ML-powered 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

Skills

RAG

LLM

BM25

dense retrieval

hybrid retrieval

re-ranking

retrieval pipelines

agentic workflows

evaluation frameworks

Backend

Machine Learning

Klue

AI-driven competitive intelligence platform

About Klue

Klue provides a competitive intelligence platform that helps businesses understand their market, competitors, and buyers. The platform uses artificial intelligence to gather data from millions of sources and highlights the most relevant insights for its users. This information is centralized, making it easy for teams to access and utilize. Klue offers features like battlecards and newsletters that deliver real-time intelligence to sales representatives, enhancing their ability to compete effectively. Unlike many competitors, Klue focuses on delivering a comprehensive view of the competitive landscape, which allows businesses to make informed strategic decisions. The goal of Klue is to enable its clients to improve their win rates and measure the impact of competitive intelligence on their revenue, ultimately providing a clear return on investment.

Vancouver, CanadaHeadquarters

2015Year Founded

$87MTotal Funding

GRANTCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

201-500Employees