Senior Staff Machine Learning Platform Engineer

Job Application for Senior Staff Machine Learning Platform Engineer at Faire Senior Staff Machine Learning Platform Engineer Kitchener-Waterloo, ON; Toronto, ON Apply About Faire Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow Optimize performance, reliability, and cost of the ML platform Evaluate and integrate emerging Databricks features Stay ahead of the curve by engaging with the latest developments in machine learning and AI Serve as senior ML technical advisor to Faire’s data science and production engineering teams Represent Faire at ML conferences and meetups Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes 10-12 years of experience building and improving large-scale ML or data platforms. A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field. Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization Proven ability to design systems that support multiple data science teams and production workloads Strong background in distributed systems, ML infrastructure, and cloud architecture. Demonstrated technical leadership across teams and orgs; ability to influence without authority Experience integrating LLM workflows into enterprise platforms is a plus Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following: Category Technologies Languages Python, SQL, Kotlin ML Frameworks PyTorch, PySpark, MLFlow Big Data & Processing Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL Cloud & Infrastructure AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform Generative AI Claude Sonnet 4.5, ChatGPT 5.2 Salary Range Canada: the pay range for this role is $228,000 to $313,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Faire uses Artificial Intelligence (AI) to screen and select applicants for this position. This job posting is for an existing vacancy. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog . Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ( ) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice () Create a Job Alert Interested in building your career at Faire? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill with MyGreenhouse First Name * Last Name * Preferred First Name Email * Phone Country Phone Location (City) * Locate me Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Please select your current province of residence. Select “Not in Canada” if you reside outside of Canada. This information helps us understand our talent pool and ensures we provide accurate resources throughout the hiring process. * Select... This role will be in-office on a hybrid schedule, can you commit to being in-office three days per week at the location where this position is posted? * Select... Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application) * Select... How did you hear about Faire? (Select all that apply) * Answered “unaware” to previous question Online advertisement (social media, display ads, etc.) Billboard or outdoor advertising Faire's website Faire’s technical blogs (Faire.Tech, The Craft) Someone I know personally (friend, family, former colleague) Job posting on LinkedIn, Indeed, or other job board LinkedIn post or content (not a job posting) News article or media coverage Industry event or conference Other Canada Demographic Questions We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful. Below is a set of completely voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. All responses are anonymous, self-disclosed and will be kept confidential. Responses will be securely stored and will not be used to identify any individual employee. If you choose to fill out these questions, the responses will be used (in aggregate only ) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not , in any way, be used in the hiring decision. Which categories describe you? Select all that apply to you: * Select... How do you currently describe your gender identity? * Select... Submit application Powered by Greenhouse