Senior Machine Learning Engineer - Artificial Intelligence Posted

Senior Machine Learning Engineer – Artificial Intelligence

Location: Toronto

Business Area: Engineering and CTO

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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 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.

• 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 conferences 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;
  Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience.
• Experience with machine learning and deep learning frameworks.
• Proficiency in software engineering.
• Understanding of Computer Science fundamentals such as data structures, 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.

Bloomberg is an equal‑opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability‑inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email