Senior Machine Learning Research Engineer - Artificial Intelligence
BloombergCanada15 hours ago
Full-timeEngineering, Information Technology
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Location
Toronto
Business Area
Engineering and CTO
Ref #
10044510
Description & Requirements
Bloomberg’s Engineering AI department comprises over 350 AI experts dedicated to building cutting edge, market-leading products. Leveraging advanced technologies including transformers, large language models, and dense vector databases, we are transforming search, discovery, and workflow solutions across the financial industry. As we expand our group, we are seeking highly skilled Machine Learning (ML) and Software Engineers who will contribute innovative solutions to AI-driven customer-facing products.
At Bloomberg, we foster transparency and efficiency in global financial markets. Our technology powers search and discoverability, bringing actionable insights from news, research, financial data, and analytics covering more than 35 million financial instruments. Since 2009, Bloomberg has been at the forefront of applying artificial intelligence to organize the vast volumes of structured and unstructured data that inform critical financial decisions, uncover market signals, and deliver clarity precisely when our clients need it most.
In Toronto, our Machine Learning Engineers are central to advancing Bloomberg’s efforts in financial query understanding and code generation. They bridge the gap between pioneering research and practical solutions, developing models to address complex financial queries and automate code writing. They engineer state-of-the-art code generation systems and apply LLM techniques like CoT, SFT or RLHF to drive iterative model refinement.
Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to:
Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at
Toronto
Business Area
Engineering and CTO
Ref #
10044510
Description & Requirements
Bloomberg’s Engineering AI department comprises over 350 AI experts dedicated to building cutting edge, market-leading products. Leveraging advanced technologies including transformers, large language models, and dense vector databases, we are transforming search, discovery, and workflow solutions across the financial industry. As we expand our group, we are seeking highly skilled Machine Learning (ML) and Software Engineers who will contribute innovative solutions to AI-driven customer-facing products.
At Bloomberg, we foster transparency and efficiency in global financial markets. Our technology powers search and discoverability, bringing actionable insights from news, research, financial data, and analytics covering more than 35 million financial instruments. Since 2009, Bloomberg has been at the forefront of applying artificial intelligence to organize the vast volumes of structured and unstructured data that inform critical financial decisions, uncover market signals, and deliver clarity precisely when our clients need it most.
In Toronto, our Machine Learning Engineers are central to advancing Bloomberg’s efforts in financial query understanding and code generation. They bridge the gap between pioneering research and practical solutions, developing models to address complex financial queries and automate code writing. They engineer state-of-the-art code generation systems and apply LLM techniques like CoT, SFT or RLHF to drive iterative model refinement.
Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to:
- Collaborate with colleagues on production systems and write, test, and maintain production quality code
- Design, train, experiment, and evaluate ML models, algorithms and solutions
- Demonstrate technical leadership by owning cross-team projects
- Stay current with the latest research in ML and incorporate new findings into our models and methodologies
- Represent Bloomberg at scientific and industry conference and in open-source communities
- Publish product and research findings in documentation, whitepapers or publications to leading academic venues
- Practical experience with solving Machine Learning problems and techniques
- Experience with machine learning and deep learning frameworks
- Proficiency in software engineering
- An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
- Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
- A track record of authoring publications in top conferences and journals is a strong plus
Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at
Key Skills
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