Software Engineer

Join the tech team at Sana Labs to advance our mission of making learning personalized and engaging for everyone. Our work ranges from the R&D of new machine learning models to scalable infrastructure and delightful user experiences.

At Sana, we move quickly and cheer each other on, turning code into user-friendly customer solutions. Currently, we're hiring skilled and passionate software engineers across the stack. If you're creative, responsible, curious, and enjoy collaboration, we'd love to connect with you. Together we can develop cutting-edge technology that will help change the way the world learns.

We are primarily looking for experience levels from intermediate to senior and above.

Our selection process is continuous and we move forward with candidates on an ongoing basis. If you have questions about the role, contact viktor@sanalabs.com. Expectations for common profiles are listed below.

Preferred qualifications

• Programming experience in multiple languages and paradigms
• Ability to work with stakeholders in business, design, and engineering
• A deep understanding of general engineering principles

You will

• Tailor your own role that spans across the stack based on what you know and what you want to learn
• Architect and implement complex features that push the boundaries of learning

Preferred qualifications

• The web – from the ground up; from HTTP to CSS
• React – with a deep understanding of state management

You will

• Implement client-facing features for the Sana Platform
• Work with API integrations or design implementation depending on your focus

Preferred qualifications

• Highly available, scalable and extendible backend systems
• Enterprise integrations; such as SAML and SSO

You will

• Maintain and develop the infrastructure for the Sana Platform
• Be responsible for scalable and stable deployments

Preferred qualifications

• Applied machine learning to user facing products
• Robust and scalable data- and model infrastructure
• Rigorous experimentation and evaluation methodology
• A user- and business focused perspective
• Experience with recommendation systems, natural language understanding or generation is a plus

You will

• Maintain and develop the data and ML infrastructure powering Sana
• Be responsible for turning data into insights and/or product features

• TypeScript, React, Next.js, Jotai
• Kotlin, Ktor, JVM, Python, Yjs CRDT
• Postgres, BigQuery
• Docker, Kubernetes, GCP