Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
$170,000 – $200,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer Software, Enterprise SoftwareIndustries
Requirements
Candidates should have a strong background in machine learning and information retrieval fundamentals, along with experience in optimizing LLM-based systems. Proficiency in developing APIs, scalable machine learning services, and a solid understanding of prompt engineering is required. Experience with model training, fine-tuning, and performance evaluation metrics is essential.
Responsibilities
The Senior Machine Learning Engineer will focus on optimizing LLM-based agents, creating a platform for ML capabilities, and deploying ML services to production. They will measure and improve retrieval systems, develop evaluation metrics, and create optimal chunking and enrichment strategies for diverse data sources. Additionally, they will build scalable tools for machine learning training and inference, write prompts, and implement benchmarking systems. The role includes training and fine-tuning efficient models, creating labeled datasets, conducting hyperparameter optimizations, deploying models, and monitoring their performance.
Skills
LLM
Retrieval Systems
BM25
Semantic Search
Data Chunking
Data Enrichment
API Development
Model Deployment
Model Monitoring
Prompt Engineering
Hyperparameter Optimization
Training Pipelines
Benchmarking
Zero-shot Learning
Few-shot Learning
Data Labeling
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.
Key Metrics
Vancouver, CanadaHeadquarters
2015Year Founded
$87MTotal Funding
GRANTCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
201-500Employees