Sr Machine Learning Engineer - job 1 of 2

As a Sr Machine Learning Engineer at Workday, you will primarily focus on designing and implementing LLM-based agentic systems that enhance user experience across our software. You'll work on developing scalable ML pipelines and conducting exploratory data analysis to inform your development. Collaborating closely with software engineers and product managers, you will integrate machine learning solutions into core Workday applications, pushing the boundaries of what's possible in enterprise software.

To excel as a Sr Machine Learning Engineer at Workday, you should have at least 5 years of experience in machine learning engineering or applied machine learning. Proficiency in Python and ML frameworks like PyTorch or TensorFlow is essential, along with a strong understanding of both classical and deep learning techniques. Additionally, familiarity with LLMs and their application in building agentic systems is required, as is the ability to process large-scale datasets using Spark.

The culture at Workday is vibrant and collaborative, embodying an employee-centric approach that encourages innovation and personal growth. As a Sr Machine Learning Engineer, you'll be part of a fast-paced team with a startup-like mentality, where your ideas are valued, and teamwork is emphasized. Workday fosters an environment where you can effortlessly bring your authentic self to work, contribute, and thrive alongside enthusiastic colleagues.

Workday places a strong emphasis on professional growth for its Sr Machine Learning Engineers by providing opportunities for continuous learning, mentorship, and participation in collaborative activities such as hackathons and knowledge-sharing sessions. As a Workmate, you'll be supported in developing your skills and exploring creative solutions to complex challenges, ensuring that you are always at the cutting edge of machine learning engineering.

Candidates applying for the Sr Machine Learning Engineer role at Workday can expect a thorough yet welcoming hiring process. Interviewers will focus on assessing both technical skills and cultural fit, with questions centered around your experience with machine learning, problem-solving, and collaboration. Workday values transparency, ensuring that you have a clear understanding of the role and the team's expectations. Throughout the process, candidates will also receive guidance on what to expect regarding compensation and benefits.

When answering this question, detail your specific contributions to the project, focusing on the techniques and algorithms you implemented. Highlight challenges encountered and how you overcame them, ensuring to showcase your problem-solving skills and team collaboration, which are crucial for a Sr Machine Learning Engineer at Workday.

Describe situations where you successfully employed LLMs, emphasizing both the technical aspects—such as model training or implementation—and the outcomes of those projects. It’s important to articulate how these experiences align with the responsibilities of the Sr Machine Learning Engineer role at Workday.

Explain your approach to prioritization and time management, mentioning methodologies like Agile or Kanban if applicable. Illustrate with examples where you effectively managed competing deadlines while ensuring quality, proving that you can thrive in Workday's fast-paced environment.

Discuss specific techniques you utilize, such as visualizations, statistical analyses, or machine learning methods to extract insights. Be prepared to share examples of how your exploratory data analysis impacted model development or product design, which is valuable for the Sr Machine Learning Engineer role at Workday.

Share your strategies for conflict resolution, focusing on the importance of communication and collaboration. Give an example where you helped resolve a disagreement constructively, which is vital in a collaborative setting like Workday.

Detail your experience in each area by providing examples of how you've approached data preprocessing for various datasets, the feature engineering techniques you employed, and the model training strategies that yielded success. This will demonstrate your comprehensive skill set aligned with the Sr Machine Learning Engineer position’s requirements.

Articulate your alignment with Workday's mission, culture, and focus on innovation. Emphasize how your career goals align with the impact you hope to make in the machine learning engineering space and how you resonate with Workday's employee-centric values.

To approach this question, simplify the concept using analogies that omit technical jargon. This will showcase your ability to communicate complex ideas clearly, a crucial skill for collaboration at Workday, especially as a Sr Machine Learning Engineer.

Discuss your coding practices, such as writing clear documentation, utilizing version control, and including test cases. Provide examples of how these practices have benefited your previous projects, ensuring that your answer aligns with Workday's emphasis on clean and testable code.

Reflect on your long-term career goals and how the machine learning initiatives at Workday align with those aspirations. Mention your desire for continuous learning and contribution to impactful projects, which demonstrates your commitment to growth within the Sr Machine Learning Engineer role.