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Form of workYour 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
We are the Enterprise Data Science team responsible for delivering Advanced Analytics and ML models to meet the needs of Workday enterprise. Our work focusses on solving prediction, recommendation, NLP and other Advanced Analytics related problems. with curing edge but right sized solutions leveraging the latest and greatest in AI/ML world including Generative AI solutions. We are a diverse set of committed individuals, who love to create a fun and welcoming work environment and our passion is everything AI/ML.
About the Role
We are looking for an accomplished Machine Learning engineer, well versed with industry best practices in ML and Dev/Ops with extensive knowledge of technologies, methods and challenges related to Deploying and Monitoring complex array of ML models. You are an innovator at heart and are passionate about time-to-value. You love to learn and you dive right into the work effort and emerge with timely solutions. More importantly you are a team player, always thinking of further team(s) interest and this is the trait that we value the most.
Responsibilities
About You
Basic Qualifications:
Other Qualifications:
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: USA.CA.Pleasanton
Primary Location Base Pay Range: $160,000 USD - $240,000 USD
Additional US Location(s) Base Pay Range: $136,800 USD - $240,000 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!
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
We are the Enterprise Data Science team responsible for delivering Advanced Analytics and ML models to meet the needs of Workday enterprise. Our work focusses on solving prediction, recommendation, NLP and other Advanced Analytics related problems. with curing edge but right sized solutions leveraging the latest and greatest in AI/ML world including Generative AI solutions. We are a diverse set of committed individuals, who love to create a fun and welcoming work environment and our passion is everything AI/ML.
About the Role
We are looking for an accomplished Machine Learning engineer, well versed with industry best practices in ML and Dev/Ops with extensive knowledge of technologies, methods and challenges related to Deploying and Monitoring complex array of ML models. You are an innovator at heart and are passionate about time-to-value. You love to learn and you dive right into the work effort and emerge with timely solutions. More importantly you are a team player, always thinking of further team(s) interest and this is the trait that we value the most.
Responsibilities
- Work with Data Scientist to deploy, monitor and deliver Machine Learning models
- Configure, maintain and optimize Databricks/H20/AWS ecosystem to help optimize ML pipelines
- Define and implement ML lifecycle and measure and rack throughput metrics
- Partner with external functions and teams to deliver ML model results (predictions etc) to the consuming systems (SFDC, Apttus, Gainsight)
- Track and report on ML model performance metrics including run time, convergence, degradation and related metrics
About You
Basic Qualifications:
- 7+ years of full-time industry experience as a Software Engineer with 2+ years related to Machine Learning and Data Engineering
- 2 + years of experience with Databricks, AWS,(RedShift, Sagemaker) H2O, , MySQL, Spark and associated tools to build scalable Machine Learning systems
- Programming skills in Python (numpy/scipy, sklearn, pandas, etc)
Other Qualifications:
- Bachelors or Masters Degree in Computer Science, Statistics or other
- Interest or experience in information extraction, text mining, natural language processing, recommendation systems, and search relevance
- Self-motivation, a strong sense of ownership, and an enjoyment of a startup-like environment
- An ability to balance a sense of urgency with shipping high quality and pragmatic solutions
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: USA.CA.Pleasanton
Primary Location Base Pay Range: $160,000 USD - $240,000 USD
Additional US Location(s) Base Pay Range: $136,800 USD - $240,000 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!
