Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
3+ years of hands-on experience in building and deploying machine learning models in production, with a focus on Information Retrieval, Search, or Recommender Systems.
Proficiency in Python and SQL (or similar query languages).
Deep knowledge of ML frameworks (PyTorch or T
Own model development: design, develop, and deploy advanced ranking algorithms and retrieval models to deliver highly relevant search results.

Key requirements

Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
3+ years of hands-on experience in building and deploying machine learning models in production, with a focus on Information Retrieval, Search, or Recommender Systems.
Proficiency in Python and SQL (or similar query languages).
Deep knowledge of ML frameworks (PyTorch or T
Own model development: design, develop, and deploy advanced ranking algorithms and retrieval models to deliver highly relevant search results.

Jobs at RavenPack

1 active role from this employer in the JobMatcher catalog.

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Jobs at RavenPack

1 active role from this employer in the JobMatcher catalog.

All company jobs

About the role

RavenPack is seeking a Senior Machine Learning Engineer to join the Search & Recommendation team. You will own the end-to-end machine learning lifecycle, from ideation and data exploration to model deployment, building sophisticated, scalable ranking, retrieval, and content-personalization systems that power how financial professionals discover information. This role sits at the intersection of information retrieval, NLP, and finance.

Responsibilities

Own model development: design, develop, and deploy advanced ranking algorithms and retrieval models to deliver highly relevant search results.
Innovate in semantic search: fine-tune and distill language models for domain-specific expertise; implement cutting-edge embedding techniques to optimize speed and accuracy.
Build and scale recommender systems: architect and implement recommender systems that personalize the user experience and drive content discovery.
Collaborate with product managers, software engineers, and data scientists to translate business needs into technical solutions.
Stay ahead of the curve by researching ML, NLP, and Information Retrieval trends and prototyping new ideas to maintain our competitive edge.

Requirements

Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
3+ years of hands-on experience in building and deploying machine learning models in production, with a focus on Information Retrieval, Search, or Recommender Systems.
Proficiency in Python and SQL (or similar query languages).
Deep knowledge of ML frameworks (PyTorch or T

About the role

RavenPack is seeking a Senior Machine Learning Engineer to join the Search & Recommendation team. You will own the end-to-end machine learning lifecycle, from ideation and data exploration to model deployment, building sophisticated, scalable ranking, retrieval, and content-personalization systems that power how financial professionals discover information. This role sits at the intersection of information retrieval, NLP, and finance.

Responsibilities

Own model development: design, develop, and deploy advanced ranking algorithms and retrieval models to deliver highly relevant search results.
Innovate in semantic search: fine-tune and distill language models for domain-specific expertise; implement cutting-edge embedding techniques to optimize speed and accuracy.
Build and scale recommender systems: architect and implement recommender systems that personalize the user experience and drive content discovery.
Collaborate with product managers, software engineers, and data scientists to translate business needs into technical solutions.
Stay ahead of the curve by researching ML, NLP, and Information Retrieval trends and prototyping new ideas to maintain our competitive edge.

Requirements

Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
3+ years of hands-on experience in building and deploying machine learning models in production, with a focus on Information Retrieval, Search, or Recommender Systems.
Proficiency in Python and SQL (or similar query languages).
Deep knowledge of ML frameworks (PyTorch or T

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Based on: Senior ML Engineer - Search & LLM Ops