Jobs in Windsor, Canada

You will join our Applied Research team, working at the intersection of large-scale AI systems and the financial sector. Our goal is to design, fine-tune, and optimize foundation models—transformers, LLMs, and multi-modal architectures—to address complex challenges to "Help Everyone Home". This role combines cutting-edge ML research with hands-on implementation in production environments, in close collaboration with ML engineers, data engineers, and financial domain experts.

1. Analyze and process large-scale structured, unstructured, and multi-modal financial datasets.
2. Fine-tune, adapt, evaluate, and optimize foundation models (LLMs, multi-modal transformers) for financial applications.
3. Design experiments, evaluate models using statistical metrics and domain-specific benchmarks, and implement continuous improvement methods.
4. Develop and integrate retrieval-augmented generation (RAG) pipelines and embedding-based search for enhanced contextual relevance.
5. Apply advanced feature engineering, prompt engineering, and bias mitigation techniques to improve model performance and fairness.
6. Collaborate with domain experts to translate business problems into AI model objectives and solutions.
7. Deploy research prototypes into production in partnership with engineering teams.
8. Create visualizations and reports to communicate findings clearly to both technical and non-technical stakeholders.
9. Establish and promote best practices for training, evaluation, and deployment of foundation models in the financial sector.
10. Collaborate with the engineering and product teams to develop and support our internal data platform for ongoing analyses.

Minimum Qualifications

1. Master’s or PhD in Computer Science, Machine Learning, Statistics, or related field, or equivalent applied experience.
2. Strong foundation in ML/DL theory and hands-on experience with foundation models (transformers, large language models, multi-modal architectures).
3. Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
4. Experience with training, fine-tuning, and evaluating large models on GPUs/TPUs.
5. Solid understanding of NLP techniques, embeddings, and RAG architectures.
6. Experience with MLOps tools for experiment tracking, model versioning, and deployment.
7. Strong knowledge of data preprocessing and feature engineering for both structured (tabular) and unstructured (text, images, documents) financial data.

Our team members fuel our strategy, innovation, and growth. We prioritize your health and well-being, offering support and benefits to help you live your best life. Check out our full list of Benefits and Perks.

Rocket Innovation Studio (RIS) launched in 2019 and has established itself in the Canadian fintech industry. Headquartered at 156 Chatham Street in Windsor, Ontario, RIS has transformed a historic building into a hub for innovation. In 2020, RIS joined Rocket Mortgage to improve the mortgage process and enhance client experience for Canadians.

Supported by Rocket Companies, RIS combines startup agility with enterprise stability, allowing Canadian talent to design, build, and test innovative IT solutions. RIS aims to make Windsor Canada's tech hub. Apply today to join a team offering career growth, excellent benefits, and collaboration with industry leaders.

This job description outlines primary responsibilities and may be modified at the company's discretion. Employment decisions are not based on race, color, religion, national origin, sex, disability, sexual orientation, gender identity, age, military or veteran status, or any characteristic protected by law. Reasonable accommodations are available for qualified individuals with disabilities. For accommodations, contact Careers@myrocketcareer.com.