Our mission is to provide a positive, empowering, and transparent property financing experience that is simple from start to finish. Our team consists of skilled technology experts, caring mortgage specialists, and a diverse marketing team, all working together to lead change in the mortgage industry.

At nesto, we're proud of

• Our clients love our positive, empowering, and transparent mortgage financing experience.
• Our 4.5-star Google reviews talk by themselves!
• We won the 2023 & 2024 CLA Lender of the Year award, recognizing our excellence in lending services.
• We are a B Corp certified organization, highlighting our dedication to making a positive impact on our society and our planet.
• Our highly skilled, diverse, and collaborative team makes everything possible!
• Our Mortgage Cloud platform gives financial institutions full access to nesto’s proprietary technology, powering a better client experience, from start to finish.

About the Team

Our machine learning team expertise spans the whole machine learning development cycle from data collection, all the way to model deployment and maintenance, in both computer vision and modern language models.

What You’ll Be Doing

• Develop scalable and innovative machine learning model.
• Collaborate closely with our DevOps and data team to build and optimize data and machine learning services and infrastructure.
• Create proofs of concepts for new features that improve our processes and customer experience.
• Write clean and maintainable code with an emphasis on solid coding principles.
• Apply your strong technical skills in design, coding, testing, and debugging to create top-quality software.
• Investigate and troubleshoot difficult-to-reproduce bugs, narrow down failure conditions, and perform the first test of new functionalities with confidence.
• Continuously learn about the system and cutting-edge technologies, and use your newfound knowledge to drive improvements in your work.

Who are you

• Bachelors, Masters or PhD in machine learning, computer science or similar degree.
• 3+ years of experience in machine learning.
• 5+ years of software development experience.
• Solid programming skills in Python (pandas, numpy, fastapi, pydantic, scikit-learn, opencv,...).
• Proven ability to automate and productionize machine learning applications and workflows, build AI-driven products on major cloud platforms (in-depth knowledge of Azure or GCP services is a plus).
• Proven ability to write efficient and testable code.
• Understanding of principles in Software Development Life Cycle, Security by Design.
• Proven ability to work with structured and unstructured data.
• A sound understanding of data security.
• Track record of rapidly iterating on prototypes, as well as maintaining, expanding and improving existing codebases.
• Effectively communicating and documenting the work so that we ensure reusability and reproducibility of code and infrastructure.
• A solid grasp on data engineering and data pipeline is a strong plus.

What we offer

• Contribute directly to shaping the experience that modernizes the Canadian mortgage industry.
• Take advantage of nesto's employee mortgage program that provides our employees with the best, exclusive, preferred low rates.
• Benefit from a generous time-off policy including 4 weeks vacation per year.
• Enjoy a premium benefits plan fully paid by nesto, including a top-class insurance plan and unlimited access to telemedicine and mental health service, for you and your family from day 1.
• Access to an annual health and wellness budget.
• Take your work internationally with our temporary international work program.
• Seize the possibility of working in a hybrid mode. We own beautiful offices in downtown Montreal (Peel Station) and our spaces are dog-friendly.

Diversity & Inclusion

At nesto, we believe that creativity and collaboration are the result of a diverse team. We are committed to fostering a culture of diversity, equity, inclusion, and belonging, and we strongly encourage women, people of color, LGBTQIA+ individuals, and individuals with disabilities to apply. We are committed to creating a workplace that is inclusive and welcoming to all.