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À propos
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We're working on making machine learning core to Workday's products by building features and capabilities that can be scaled out to hundreds of use cases within Workday. Illuminate: The next generation of Workday AI is unlocking a whole new level of productivity and human potential by accelerating manual tasks, assisting every employee, and ultimately transforming entire business processes. With more than 70 million users under contract generating more than 800 billion transactions a year on our platform, Illuminate leverages the world’s largest and cleanest HR and Finance dataset. The combination of this data—with Illuminate’s ability to understand the context behind it—enables Workday to unlock value in a way no competitor can. Join us as we change the way millions of people work.**About the Role**As a machine learning engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models. You will develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers.In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved. You also should have a product approach and strong intuition around how ML can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are essential to succeed in this role. Key Responsibilities:* Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users.* Apply machine learning techniques including LLMs, knowledge graphs, deep learning including generative models, natural language understanding, and named entity recognition to analyze large sets of HR and Finance-related text data, and design and launch pioneering cloud based machine learning architectures.* Own the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of your products.* Keep abreast of the latest advancements in NLP research, techniques, and tools and apply this knowledge onto ML Features.* Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.**About You****Senior Machine Learning Engineer:****Basic Qualifications:*** Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent* 5+ yrs experience as a member of a machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation* 5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models* 3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface* 3+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms (e.g. AWS, GCP, etc.)* 3+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases**Machine Learning Engineer III:****Basic Qualifications*** 3+ yrs experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation* 1+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow* 1+ years of professional experience in building services to host machine learning models in production at scale* 1+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases* 1+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)* Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent**Other Qualifications:*** Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation* Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases* Professional experience in independently solving ambiguous, open-ended problems and technically leading teams* Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders* Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement**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 .Primary Location: USA.CA.PleasantonPrimary Location Base Pay Range: $198,400 USD - $297,600 USDAdditional US Location(s) Base Pay Range: $167,200 USD - $297,600 USDAdditional Considerations:If performed in Colorado, the pay range for this job is $176,000 - $264,000 USD based on min and max pay range for that role if performed in CO.The application deadline for this role is the same as the posting end date stated as below:08/20/2025**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 #J-18808-Ljbffr
Compétences idéales
- Deep Learning
- Machine Learning
- PyTorch
- Python
Expérience professionnelle
- Fullstack
- Machine Learning
- NLP
Compétences linguistiques
- English