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职位Workday

Sr Machine Learning Engineer - Sana

Workday

Sr Machine Learning Engineer - Sana

Workday

Sweden, Stockholm

·

On-site

·

Full-time

·

3d ago

Your work days are brighter here.

We’re 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, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll 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. We’re 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 you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll 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, you’ve 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 company’s 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.

We’re 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 we’re just getting started.

About the Role

About the role

You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll 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, Node.js

  • Frontend:

TypeScript, React, Tailwind

  • Databases:

Postgres, Redis

  • Cloud infra:

GCP/Kubernetes/Terraform

Our Approach to Flexible Work

With Flex Work, we’re 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 you'll 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 accommodations@workday.com.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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关于Workday

Workday

Workday

Public

Workday, Inc., is an American on‑demand (cloud-based) financial management, human capital management, and student information system software vendor.

10,001+

员工数

Pleasanton

总部位置

$45B

企业估值

评价

1.7

2条评价

工作生活平衡

3.0

薪酬

3.0

企业文化

2.0

职业发展

2.0

管理层

1.5

15%

推荐给朋友

缺点

Non-intuitive interface

Bug-ridden system

Inflexible platform

薪资范围

18个数据点

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist P2

0份报告

$130,000

年薪总额

基本工资

-

股票

-

奖金

-

$110,500

$149,500

面试经验

9次面试

难度

3.9

/ 5

时长

14-28周

体验

正面 11%

中性 11%

负面 78%

面试流程

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Director Interview

5

Team Interviews

6

Offer Decision

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge

Management/Leadership