AI/ML Engineer

About Leni

Leni is a cutting-edge AI infrastructure platform tailored for asset managers and investors. It enables users, both individuals and organizations, to make confident, data-driven decisions through a model-agnostic approach for diverse tasks. The platform specializes in models trained specifically on real estate and investment workflows, delivering highly accurate and cost-effective outcomes. Leni has earned top performance worldwide on key benchmarks like DRACO, SpreadsheetBench, and GAIA, offering traceable and verifiable results suitable for investor and committee review. By integrating with platforms such as Yardi, RealPage, Entrata, AppFolio, and Rent Manager, Leni creates a private context graph that captures data meanings across assets, operators, and market cycles. This dynamic memory layer provides actionable insights on trends, risks, and operations, acting as a context-aware assistant for clients.

Role Overview

The AI/ML Engineer will be responsible for designing, implementing, and deploying machine learning models and infrastructure underpinning Leni’s real estate and investment workflow solutions. Daily tasks involve developing and fine-tuning algorithms focused on pattern recognition and decision-support systems, integrating these models with existing data pipelines and external systems, and enhancing model accuracy and reliability through rigorous testing and evaluation. The role includes collaborating closely with product and engineering teams to transform domain-specific requirements into scalable ML applications, actively monitoring deployed models, and incorporating user feedback and benchmarking insights for continuous improvement.

This position is a full-time hybrid role based in Toronto, ON, combining in-office teamwork with some remote work flexibility. Responsibilities include hands-on programming, architectural system development, and contributing to best practices that ensure trustworthy and reproducible AI solutions in a high-stakes finance and real estate context.

Required Expertise

• Strong grasp of Computer Science fundamentals and algorithm design, capable of crafting efficient and scalable production-grade solutions.
• Experience with Neural Networks and pattern recognition, including building, training, and optimizing models for complex real-world data and decisions.
• Proficient in statistical principles and modeling, able to assess model performance, manage uncertainty, and design robust experiments.
• Hands-on expertise with current ML frameworks such as PyTorch and TensorFlow; proficient in data processing using Python and SQL; experienced with cloud or containerized deployment systems.
• Educational background of a Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related fields, or equivalent practical experience.
• Previous involvement with ML systems in sectors like finance, real estate, or data-intensive enterprises is advantageous.
• Strong communication skills suited for hybrid work environments, able to clearly articulate technical concepts and work effectively within cross-functional teams in Toronto.

Additional Information

This full-time hybrid opportunity provides a mix of onsite collaboration at the Toronto office and remote working flexibility. Candidates will engage in high-impact AI development targeted at improving decision-making processes in financial and real estate domains.