Build something people loveWealthsimple is Canada's leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.We're proud of what we've built - and we're just getting started. Read our Culture Manual and learn more about how we work.Machine Learning Platform TeamThe Machine Learning Platform (MLP) team builds the foundation that every ML and GenAI workload at Wealthsimple runs on. We partner with data science and engineering teams across the company to take models from experimentation to production reliably and at scale. Our responsibilities are to:Build standardized, framework-agnostic services for model training, efficient inference, evaluation and monitoring - across both traditional ML and GenAIProvide centralized, governed access to internal and external LLMsSet the technical direction for how ML and LLM models are trained, shipped and operated across the companyThe RoleWe are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade and Tax products.As a Software Engineer on the Machine Learning Platform team, you will play a pivotal role in our mission to build a self-serve ML Platform to enable data scientists to do their best work. As such, you will work closely with the area owners, data scientists and other software engineers to improve our ML-ops tooling and support the launch of current data products.In this role,



you will have the opportunity to:Partner with stakeholders across different product domains, infrastructure to tackle technical problems at scale, which includes building framework agnostic services to support all of Wealthsimple's machine learning needs.Establish roadmap and architecture for Wealthsimple's Machine Learning platformBuild highly performant scalable systems, contributing to our ML platform on Kubernetes and RayWork with a large amount of autonomy to set the technical direction for scalable projects.We are looking for people who have:5+ years of experience implementing production-ready services3+ years of experience with python5+ years of software development experience in ML infra, ML tooling or ML engineeringProven experience designing and implementing highly performant scalable systems with good observabilityProven experience owning a project end-to-end and owning and tending complex systems for the long runPreferred experience with ML ecosystem (e.G. pytorch, transformers, Ray, feature stores, elastic search and similar vector databases, triton, cuda, DVC, vLLM)Our stack includes:Kubernetes to orchestrate our servicesFastAPI for RESTful APIsMLflow for experiment trackingKubernetes, Ray, Bedrock, vLLM for ML training and inferenceChronon Feature storeKafka, postgres, redshift and snowflake for streaming and data warehousingWhy Wealthsimple?Top-tier health benefits and life insuranceLong-term group savings with employer match, through Wealthsimple for Business20 vacation days, 4 wellness days,



and unlimited sick and mental health days per year90 days away: work outside Canada for up to 90 days per yearEmployee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WSWe are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.ICYMITechnology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work - whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know - we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment - all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us. #J-18808-Ljbffr

📌 Senior Software Developer, Ml Ops (Toronto)
🏢 Portage Ventures GP
📍 Toronto