Sr. Machine Learning Engineer

COMPANY

Canoe Intelligence

WEBSITE

: https://canoeintelligence.com/

TITLE

Sr. Machine Learning Engineer

LOCATION

New York City or London (hybrid) / Fully Remote in the United States or United Kingdom

SALARY

: $180,000 - $220,000 (based on NYC, will be adjusted for geo)

The Role

We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data.

What You’ll Do

• Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval.
• Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability.
• Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models.
• Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities.
• Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning.
• Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions.
• Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack.
• Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team.

What We’re Looking For

• Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs.
• Proficiency in Python and relevant machine learnin...