First seen by our source: 17 days ago
Senior Applied AI Engineer - Artificial Intelligence
@ Bloomberg
Toronto, Ontario
Overview
Bloomberg is hiring a Senior Applied AI Engineer in Toronto to build AI agents and code-generation systems over financial data, bridging research and production. The role involves designing and evaluating ML and agentic systems, owning cross-team projects, and publishing findings. Experience with LLM applications and agentic orchestration frameworks is required.
Responsibilities:
- Build and maintain production quality code for AI systems
- Design, train and evaluate ML models and agentic systems
- Own cross-team technical projects
- Publish research and product findings
Requirements summary:
- PhD with 0-2 years, Master's with 4+ years, or Bachelor's with 5+ years experience
- Hands-on LLM application experience including RAG and evaluation
- Experience building agentic systems and orchestration frameworks
- Strong Python and computer science fundamentals
Tools & skills
Source and dates
Source type not verified · avature
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-21
- Source record updated
- 2026-10-21
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Doctorate (preferred), Master’s degree (preferred), Bachelor’s degree (preferred) |
| Fields of study | Computer Science, AI/ML, NLP |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Bloomberg
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through constant innovation. We collaborate broadly because we know that other perspectives matter. We put our customers first, as a guiding beacon. And we believe doing the right thing – by our people, our clients, and our communities – is the best thing for our business.
- LinkedIn followers
- 2,195,333
- People associated on LinkedIn
- 26,224
- Reported office locations
- 731 Lexington Ave., New York, NY 10022, US
- 3 Queen Victoria Street, London, UK EC4N 4TQ, GB
- Marunouchi Bldg. 21F, 2-4-1 Marunochi, Chiyoda, Tokyo, 1006321, JP
- 100 Business Park Dr, Skillman, NJ 08558, US
- Other recorded names
- Bloomberg
- Specialties
- Financial Data
- Analysis
- Software Engineering
- Machine Learning
- News
- and Media
- Profile identifies a recruitment agency
- No
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through…
| Field | Value |
|---|---|
| Industry | Financial Services |
| Company size | 10,001+ employees |
| Headquarters | New York, NY |
| Organization type | Privately Held |
| Specialties | Financial DataAnalysisSoftware EngineeringMachine LearningNewsand Media |
| Open jobs on Jobsy | 3 |
| View page |
Bloomberg’s Engineering AI department has 450+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
In Toronto, our Applied AI Engineers are central to Bloomberg's work on financial query understanding, code generation and agentic systems over structured data. They bridge the gap between pioneering research and production, building models and agents that answer complex financial questions, write and execute code, and bring new datasets into the platforms our clients query every day. They engineer state-of-the-art code generation and agent systems, build the evaluation loops that tell us whether those systems are right, and apply LLM techniques like CoT, SFT or RLHF to drive iterative model refinement.
Join the AI Department as a Senior Applied AI 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, agentic systems, algorithms and solutions
Demonstrate technical leadership by owning cross-team projects
Stay current with the latest research in ML/AI 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
We are looking for Senior Applied AI Engineers with the following experience:
Ph.D. in Computer Science, AI/ML, NLP or relevant technical field with 0–2 years of experience, or a Master’s with 4+ years, or a Bachelor’s with 5+ years of relevant industry experience.
Practical experience applying machine learning, deep learning, and generative AI techniques to real-world problems, from experimentation through production deployment.
Strong software engineering skills, including proficiency in Python and experience designing, testing, and maintaining scalable production systems.
Hands-on experience building LLM-powered applications, including retrieval-augmented generation, prompt engineering, model evaluation, or post-training techniques.
Experience developing agentic AI systems that use external tools, APIs, search systems, databases, or code execution environments.
Experience building agentic harnesses or orchestration frameworks, including tool routing, state and memory management, multi-step workflows, guardrails, tracing, retries, and evaluation.
Strong computer science fundamentals, communication skills, and the ability to collaborate across technical and non-technical teams; publications at leading AI, ML, or NLP conferences are a plus.
If this sounds like you:
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 http://www.techatbloomberg.com/ai
This posting is for an open position at Bloomberg.
For some positions, we use automated assessment technologies to assist in selecting appropriate candidates based on criteria we have identified. These automated decisions are made by applying criteria that have been rigorously set by Bloomberg using human input and judgment, and may include communication, decision-making, innovation or teamwork.
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