Senior Machine Learning Engineer at Klue

Toronto, Ontario, Canada

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CA$175,000 – CA$210,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

Machine LearningLLMRetrieval-Augmented Generation (RAG)Dense RetrievalQuery UnderstandingAgentic ReasoningSearch and Retrieval SystemsArchitecture DesignEvaluation FrameworksRe-rankingPost-retrieval SynthesisQuery RewritingQuery ExpansionQuery Classification

Questions & Answers

Common questions about this position

What experience level is required for the Senior Machine Learning Engineer role?

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

Where is the Senior Machine Learning Engineer position based?

The position is based in Toronto.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Klue?

Klue has an experienced leadership team working alongside several hundred risk-taking builders who elevate every day, and is recognized as one of Canada’s Most Admired Corporate Cultures, a Deloitte Technology Fast 50 & Fast 500 winner, and recipient of Startup of the Year and Tech Culture of the Year awards.

What makes a strong candidate for this Senior Machine Learning Engineer position?

A strong candidate has 5+ years of ML systems experience including 2+ years in search/retrieval, expertise in architecting retrieval pipelines, RAG, agentic workflows, evaluation frameworks, LLM optimization, and cross-functional collaboration.

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

Benefits

Competitive base compensation

Extended health & dental benefits

Unlimited vacation

Employee Stock Option Plan

Pension fund

Yearly fully-paid trips to Vancouver headquarters

Free access to an online learning tool offering many engineering courses

Risks

Emerging AI-driven platforms could erode Klue's market share.

Rapid AI advancements may lead to technological obsolescence for Klue.

Customer privacy concerns could limit Klue's data collection capabilities.

Differentiation

Klue uses AI to provide actionable competitive intelligence insights efficiently.

The platform integrates with Salesforce for consistent and reliable data insights.

Klue's AI-Generated Strengths and Weaknesses feature reduces manual analysis time significantly.

Upsides

Klue's rapid growth is validated by its inclusion in Deloitte's Fast 50 and 500 lists.

The launch of Klue Win-Loss aids unbiased decision-making in product and market strategies.

Generative AI and LLMs enhance the depth and accuracy of Klue's insights.

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