Principal Machine Learning Engineer

WorkdayBoulder, CO
258d$204,800 - $307,200

About The Position

At Workday, we are seeking a highly skilled and experienced Principal Machine Learning Engineer to contribute to the development and deployment of advanced machine learning solutions. In this role, you will be a technical leader, driving key projects and providing expertise in the design and implementation of robust ML systems. You will work on complex problems, mentor engineers, and collaborate with cross-functional teams to deliver impactful AI-powered features.

Requirements

  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 7+ years of professional experience in machine learning engineering.
  • 4+ years experience in designing and implementing machine learning systems in production environments.
  • 4+ years experience in Python, with expertise in machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and others.
  • 4+ years experience with cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.

Nice To Haves

  • Strong understanding of machine learning algorithms, including deep learning, reinforcement learning, and natural language processing.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Experience with MLOps and CI/CD for machine learning.
  • Expertise in data processing and manipulation using tools like Spark or similar.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and algorithms.
  • Contribute to the architectural design and implementation of scalable and robust ML systems.
  • Analyze large datasets to identify patterns, trends, and actionable insights.
  • Evaluate and select appropriate machine learning techniques and tools for specific business problems.
  • Develop and maintain production-ready machine learning pipelines, ensuring high performance and reliability.
  • Mentor and guide junior machine learning engineers.
  • Collaborate with product managers, data scientists, and software engineers to define project requirements and deliver solutions.
  • Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and apply them to relevant projects.
  • Contribute to the development of best practices and standards for machine learning development.
  • Present technical findings and recommendations to stakeholders.
  • Design and implement model monitoring and retraining strategies.
  • Investigate and resolve complex technical issues related to machine learning systems.

Benefits

  • Workday Bonus Plan or role-specific commission/bonus.
  • Annual refresh stock grants.
  • Flexible work schedule with a combination of in-person and remote work.
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