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Senior Software Development Engineer for Machine Learning - Beaverton, United States - Workday
Description
Your work days are brighter here.At Workday, it all began with a conversation over breakfast.
When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market.
And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That's why we look after our people, communities and the planet while still being profitable.Feel encouraged to shine, however that manifests:
you don't need to hide who you are. You can feel the energy and the passion, it's what makes us unique.
Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
About The Team
As part of the Machine Learning Engineering team at Workday, we are building a platform to enable machine learning application teams to build, train, manage and serve models.
We also enable machine learning inference services by abstracting the best patterns and building a highly reliable, robust and scalable platform.
About The RoleThe role focuses on developing exciting features to evolve the ever growing Machine Learning Platform at Workday.
You would be responsible for developing end to end features like A/B testing, life cycle management and building new micro-services for machine learning models.
In addition to using your technical abilities to drive feature development, you have an ownership mindset with a passion for continuous improvement, quality, scale, and security.
You would be intellectually curious and creative in applying technology to build services that scale, are secure, and highly usable.
A strong sense of ownership and teamwork are key to succeed in this role.About You
Key Responsibilities:
Design, implement, and maintain large-scale systems that enable moving ML models to production.
Write design documents to build consensus for new system components and enhancements to existing components
Uptake new technologies made available within Workday
Troubleshoot, improve, and scale continuous integration software pipelines
Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams
Respond to alerts and debug production issues
Review pull requests and enforce consistency, performance, readability, and security across code bases
Develop documentation to share knowledge with other engineers
Basic Qualifications:
B.A./B.S. in Computer Science (Masters is a plus)
5+ years of full-time industry experience in software engineering, preferably with machine learning platform exposure
5 or more years of experience using Python, Go
Demonstrable experience using bash / Linux command line
Proven experience designing and deploying high performance systems in production
Experience with MLOps tools like MLFlow and Ray Serve
Other Qualifications
DevOps experience, and knowledge of common industry tools like Git, Kubernetes and Jenkins
3 or more years of object-oriented programming experience utilizing Python
Self-motivation and a strong sense of ownership.
An ability to balance a sense of urgency with shipping high quality and pragmatic solutions
Strong communication and interpersonal skills
Experience with AWS and Scala is a plus
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location.
As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.
Recruiters can share more detail during the hiring process.Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things.
For more information regarding Workday's comprehensive benefits, please click here.Primary Location:
CAN.BC.Vancouver
Primary CAN
Base Pay Range:
$127,000 - $190,400 CAD
Additional US Location(s)
Base Pay Range:
$140,600 USD - $248,400 USD
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.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process
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