Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Join us and help build the platform engineers turn to ship AI products.

You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials Enterprise identity lifecycle including single sign-on, SCIM provisioning, and per-organization session expiry policies Admin controls for centralized visibility, auditability, and governance over credentials, roles, and access Lead identity and authorization projects from problem definition and technical design through implementation, launch, and iteration.

Partner with product, design, and customer-facing teams to turn enterprise security requirements into durable technical solutions.



Establish engineering practices for quality, security, observability, and operational ownership. Provide technical leadership and mentorship as the team grows. 4-5+ years of experience building production backend systems, including hands-on design and implementation of a product authorization system: per-resource or per-object permissions, relationship-based access control, a policy engine, or a fine-grained authorization system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar. ~ Demonstrated end-to-end ownership: you've taken a system from first design through implementation, production rollout, and iteration with users. ~ Experience with Python and Go.

Experience running an OpenFGA, SpiceDB, or similar deployment in production, beyond a proof of concept. Competitive compensation, including meaningful equity ~100% coverage of medical, dental, and vision insurance for employee and dependents ~ Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to Recent Year's Day!) ~ Paid parental leave ~ Fertility and family-building stipend through Carrot ~ Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

📌 Software Engineer- Machine Learning F/H (IT) (Montreal)
🏢 Baseten
📍 Montreal