Sr Machine Learning Engineer

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll 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. Were 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 youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

As a Senior Machine Learning Engineer on the AI Core team you will be primarily responsible for designing building and applying machine learning models and agentic systems that power AI-driven applications at Workday. Specifically you will:

• Lead the design development and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities.

• Execute data analysis error analysis and rigorous experimentation to drive model improvements and new capability development.

• Design and implement the end-to-end machine learning pipeline (MLOps) ensuring model scalability reliability and consumption via robust APIs.

• Work with large-scale datasets to perform data wrangling feature engineering and validation to train and fine-tune state-of-the-art models.

• Apply machine learning and distributed systems principles in production to address model scalability concurrency fault tolerance and performance challenges.

• Own ML models and systems through their full lifecycle including deployment monitoring debugging and ongoing operational improvements.

About You

You are a strong technical leader with deep expertise in machine learning agentic systems and Python capable of writing production-grade code while delivering solutions efficiently.

Basic Qualification:

• 8 years of professional Machine Learning / AI engineering experience including designing building and scaling production ML models and systems.

• 5 years of experience with advanced Python development.

• Bachelors degree in Computer Science Machine Learning or related discipline or equivalent practical experience.

Technical Skills:

• Expertise in designing training and evaluating Machine Learning models (e.g. LLMs deep learning models classical ML) and deploying them to production environments.

• Expertise with building agentic systems and leveraging LLMs retrieval-augmented generation (RAG) and sophisticated prompting techniques.

• Proficiency with popular Machine Learning frameworks (e.g. PyTorch TensorFlow Scikit-learn) and MLOps tools.

• Strong understanding of data wrangling feature engineering and data validation techniques for large-scale datasets.

• Proficiency with advanced Python concepts such as asynchronous and concurrent programming generators higher-order abstractions and applying object-oriented design principles.

• Proficiency with unix systems and cloud platforms including containerized workloads and orchestration systems (e.g. AWS or GCP Docker Kubernetes).

Leadership and Communication Skills:

• Ability to collaborate effectively across teams working closely with other engineers while maintaining independent execution.

• Ownership mindset able to take responsibility for a work area and deliver high-quality reliable systems.

• Ability to mentor and coach other engineers promoting best practices and raising the engineering bar.

• Architectural thinking skills with the ability to contribute meaningful ideas and practical solutions in design and architecture discussions.

• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

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 candidates 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 Workdays comprehensive benefits please click here.

Our Approach to Flexible Work

With Flex Work were 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 youll 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.

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 .

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