Sr Machine Learning Engineer Sana

Workday

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profile Job Location:

Stockholm - Sweden

profile Monthly Salary: Not Disclosed
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Job Summary

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

About Sana
Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge automate repetitive work and learn anything with the help of agentic AI. As part of Workday we are committed to building AI that augments people - not replaces them.

We bring this mission to life through two products. Sana Agents provide a seamless way to access all your companys apps knowledge and data enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor automated content generation and interactive apps making knowledge not just accessible but actionable.

Were a talent-dense product-obsessed team of engineers and designers from companies like Google Spotify Apple and Databricks united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and were just getting started.

About the Role

About the role

Youll build the core agent infrastructure that powers Sanas mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan reason and execute across enterprise environmentsbuilding systems that reliably handle real-world complexity at scale. Youll work at the intersection of agent architecture context- tool- and prompt engineering and production infrastructure.

In this role you will

  • Architect multi-step planning orchestration and tool routing for agents

  • Implement code generation agents and sandboxed code execution

  • Engineer memory state and context packing/grounding strategies

  • Balance latency quality and cost controls for agent execution

  • Develop safe fallbacks graceful degradation and robust error handling

  • Collaborate with platform and search teams to deliver reusable agent infrastructure

  • Establish safety guarantees and measurable quality improvements

About You

What success looks like

  • Agent architectures are robust reliable and enterprise-ready

  • Context and tool engineering enables agents to act intelligently at scale

  • Clear metrics automated evaluation and continuous improvement in agent capabilities

  • Quality and safety are measurable and continuously improving

  • Durable building blocks accelerate product teams and unlock new capabilities

Our tech stack

We build on a simple modern stack optimized for both humans and AI.

  • Backend:TypeScript Kotlin

  • Frontend:TypeScript React Tailwind

  • Databases:Postgres Redis

  • Cloud infra:GCP/Kubernetes/Terraform



Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.


At Workday we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point please email
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Required Experience:

Senior IC

Your work days are brighter here.Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on w...
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Seamlessly manage your people, money, and agents on an open, unified platform with AI at the core. It’s a new work day.

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