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Workday
Workday

A new day for the enterprise.

Senior Machine Learning Engineer

직무머신러닝
경력시니어급
위치Ireland, Dublin
근무오피스 출근
고용정규직
게시1개월 전
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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

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.
Join the Deployment Adoption Platform team, where we are building an AI platform to reduce the cost of implementing Workday globally.

About the Role:

Your technical contributions and team-first mindset will play a key role in delivering high-impact products that utilize AI to reduce the cost of implementing Workday globally.

About You Basic Qualifications

  • 8+ years of experience in software engineering
  • Expert level proficiency in Python
  • Experience in Lang Graph, Lang Chain, and Lang Smith
  • Proficiency in at least one other statically-typed language such as Java, Scala, Rust, or C++
  • Demonstrated, hands-on experience building applications with Large Language Models

Other Qualifications

  • Experience implementing agentic design patterns where an LLM uses tools to interact with its environment
  • Experience developing and deploying applications on a major cloud platform (AWS, GCP, or Azure).
  • Experience architecting complex, event-driven systems capable of handling asynchronous tasks.
  • Proven success working within fast-paced, agile environments and cross-functional teams
  • Strong communication skills, with the ability to collaborate with both technical and non-technical partners
  • Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
  • Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement
  • Good understanding of Software Development principles and experience in deploying and scaling machine learning models in production environments.
  • Strong Team Collaboration skills and the ability to mentor and guide other team members.

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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Workday 소개

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+

직원 수

Pleasanton

본사 위치

$45B

기업 가치

리뷰

10개 리뷰

3.9

10개 리뷰

워라밸

3.8

보상

4.2

문화

4.1

커리어

3.2

경영진

2.8

75%

지인 추천률

장점

Good pay and compensation

Excellent health benefits and insurance

Supportive team and inclusive culture

단점

Management transparency and responsiveness issues

Overwhelming workload and high expectations

Limited career growth opportunities

연봉 정보

18개 데이터

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist P2

0개 리포트

$130,000

총 연봉

기본급

-

주식

-

보너스

-

$110,500

$149,500

면접 후기

후기 9개

난이도

3.9

/ 5

소요 기간

14-28주

경험

긍정 11%

보통 11%

부정 78%

면접 과정

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Director Interview

5

Team Interviews

6

Offer Decision

자주 나오는 질문

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge

Management/Leadership