MindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge AI™ is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with MindBridge’s AI, we set the standard for innovation, scalability, and customer satisfaction.
At MindBridge, we’re driven by innovation and excellence, united as a team to revolutionize financial integrity. Here, your ideas matter, and your efforts make a meaningful impact. If you’re passionate about using AI to drive positive change, MindBridge is the perfect fit. What distinguishes us is our unwavering commitment to our values: Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a strong sense of community flourish.

DESIRED SKILLS & EXPERIENCE:

• PhD in Computer Science, Statistics, Mathematics, or related field with a strong AI/ML focus.
• Deep knowledge of machine learning, deep learning, and optimization methods.
• Experience with transformer-based models (e.g., BERT, GPT, LLaMA) and generative AI.
• Strong hands-on skills with GPU computing frameworks (RAPIDS, CUDA, PyTorch, TensorFlow, JAX).
• Applied Research Skills: Ability to design experiments, analyze results rigorously, and translate findings into practical prototypes.
• Strong ability to convey complex research concepts to diverse audiences, both technical and non-technical.
• Publications in leading AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL), an asset.
• Experience with large-scale distributed training and model optimization, an asset.
• Exposure to client-facing or product-driven environments, applying research in practical contexts, an asset.

Requirements contingent on employment:

• Fulfill requirements necessary to obtain full background check.

ABOUT THE ROLE:

Data science is at the core of our product, and our team tackles projects ranging from large-scale algorithm design to customer use-case configuration. At MindBridge, we specialize in highly regulated markets, delivering explainable, interpretable models for financial analysis. As signatories of the Montreal Declaration for responsible AI, we are committed to advancing AI in finance while keeping it accessible to professionals beyond the tech sphere.
We’re seeking an AI Research Scientist to join our centralized Data Science team. In this individual contributor role, you’ll combine research and hands-on experimentation to design, develop, and validate advanced machine learning solutions. You’ll collaborate with our AI Architect and data scientists to drive innovation in deep learning, natural language processing, and GPU-accelerated computing—helping shape our technical direction and deliver high-impact solutions for clients.

KEY RESPONSIBILITIES:

Research & Innovation

• Investigate and design novel algorithms in machine learning and AI, with emphasis on deep learning architectures, transformers, and generative models.
• Leverage GPU acceleration frameworks (e.g., RAPIDS, CUDA, PyTorch, TensorFlow) to optimize large-scale experimentation.
• Stay ahead of the curve in AI by evaluating and adapting the latest advances into our work.

Applied Development

• Build prototypes that demonstrate research ideas in action, enabling rapid iteration and validation.
• Collaborate with client delivery teams to adapt research outputs to real-world challenges.
• Ensure scalability and efficiency of models through GPU-accelerated workflows.

Collaboration & Thought Leadership

• Work closely with our Data Science Leaders to define and execute the long-term research agenda.
• Mentor data scientists in advanced techniques and help raise the team’s technical bar.
• Share findings internally (and externally, where appropriate) through presentations, blogs, or publications.