Staff Machine Learning Engineer
MadhiveSalary not specified
- Full Time
- Expert & Leadership (9+ years)
CA$190,000 – CA$210,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have a strong background in machine learning and information retrieval fundamentals, with practical experience in LLM applications. Proficiency in developing APIs and scalable systems is essential, along with experience in training and fine-tuning machine learning models. Familiarity with hyperparameter optimization and automated training pipelines is also required.
Responsibilities
The Staff Machine Learning Engineer will optimize LLM-based agents and create a platform for teams to utilize ML capabilities. They will measure and improve retrieval systems, develop evaluation metrics, and create strategies for data chunking and enrichment. Additionally, they will develop scalable tools for machine learning training and inference, write prompts, and implement benchmarking systems. The role includes training and fine-tuning models, deploying and monitoring them in production, and optimizing their performance through comprehensive metrics.
Skills
Machine Learning
LLM
Python
API Development
Data Pipelines
Prompt Engineering
Model Training
Model Deployment
Semantic Search
BM25
Data Enrichment
Hyperparameter Optimization
Data Labeling
Model Evaluation
Benchmarking
Scalable Systems
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