Workday
Manager/Sr. Manager, Machine Learning Engineering
Workday, Pleasanton, California, United States, 94566
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 TeamMachine Learning for Financials and Document Intelligence is responsible for the architecture and development of the machine learning technologies underpinning one of Workday's fastest-growing lines of business. Our work is a blend of large-scale data processing, battle-hardened machine learning methodology, and microservice design that places craftsmanship at the forefront of everything we do. We are responsible for our Document Intelligence platform as well as building intelligence into the heart of the Workday Financials product suite.
About the RoleWe are looking for a hands-on technical and people leader who contributes to software design and ML methodology as well as production code. You will work with external customers, product management and senior technical leaders to:Deliver on the product roadmap
Own the day-to-day agile activities of the team.
Mentor team members for career growth and personal development.
Attract, hire and maintain a team of skilled engineers.
Be a strong advocate for development process, engineering best-practices, product quality and a culture of improvement.
About YouBasic Qualifications for Manager:3+ years of Engineering Leadership delivering products at scale
Demonstrable experience with Machine Learning frameworks and algorithms
Proven track-record of leading ML-enabled products from conception to deliver
Bachelor's Degree in Computer Science or equivalent
Additional Qualifications for Sr. Manager5+ years of Engineering Leadership delivering products at scale
Demonstrable experience with Machine Learning frameworks and algorithms
Proven track-record of leading ML-enabled products from conception to deliver
Bachelor's Degree in Computer Science or equivalent
Other Qualifications:Excellent communication and facilitation skills
Track-record leading a multi-functional and geographically distributed team
Ability to thrive in a fast-paced environment
Experience with cloud technologies and modern cloud-native architectures
Experience presenting complex technical ideas to both technical and non-technical audiences
A Master's Degree
Workday Pay Transparency StatementThe 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: USA.CA.Pleasanton Primary Location Base Pay Range: $204,000 USD - $306,000 USD Additional CAN Location(s) Base Pay Range: $151,600 - $227,400 CAD
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!
About the RoleWe are looking for a hands-on technical and people leader who contributes to software design and ML methodology as well as production code. You will work with external customers, product management and senior technical leaders to:Deliver on the product roadmap
Own the day-to-day agile activities of the team.
Mentor team members for career growth and personal development.
Attract, hire and maintain a team of skilled engineers.
Be a strong advocate for development process, engineering best-practices, product quality and a culture of improvement.
About YouBasic Qualifications for Manager:3+ years of Engineering Leadership delivering products at scale
Demonstrable experience with Machine Learning frameworks and algorithms
Proven track-record of leading ML-enabled products from conception to deliver
Bachelor's Degree in Computer Science or equivalent
Additional Qualifications for Sr. Manager5+ years of Engineering Leadership delivering products at scale
Demonstrable experience with Machine Learning frameworks and algorithms
Proven track-record of leading ML-enabled products from conception to deliver
Bachelor's Degree in Computer Science or equivalent
Other Qualifications:Excellent communication and facilitation skills
Track-record leading a multi-functional and geographically distributed team
Ability to thrive in a fast-paced environment
Experience with cloud technologies and modern cloud-native architectures
Experience presenting complex technical ideas to both technical and non-technical audiences
A Master's Degree
Workday Pay Transparency StatementThe 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: USA.CA.Pleasanton Primary Location Base Pay Range: $204,000 USD - $306,000 USD Additional CAN Location(s) Base Pay Range: $151,600 - $227,400 CAD
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!