Senior Applied Machine Learning Scientist

What You’ll Do

• Own and deliver high-quality AI & ML solutions that drive business impact and align with team objectives.
• Develop and maintain scalable infrastructure and libraries specific to Workiva science.
• Collaborate with stakeholders to define project goals and solve ambiguous, open-ended problems.
• Lead technical initiatives, defining blueprints for complex projects involving cross-functional teams.
• Provide guidance on tradeoffs between thorough technical solutions and applied business value, reducing the time between POC and ROI.
• Mentor and guide team members, fostering a collaborative and high-performing team environment.
• Establish and promote best practices in MLOps, cloud infrastructure, and operational processes as it relates to the model development lifecycle.
• Write, review, and maintain efficient, testable, and adaptable code.
• Proactively optimize existing systems, reducing technical debt and ensuring scalability.
• Contribute to strategic planning for ML-driven initiatives and influence the team’s technical direction.
• Champion and evolve the culture of experimentation and measurement, ensuring sound decision making for AI and ML features in product.

• Minimum Qualifications:
  
  Bachelor’s degree or Advanced degree (Master’s or PhD) in Computer Science, Data Science, or a related field, or equivalent experience; 2+ years of professional experience in applied machine learning or AI science.
• Preferred Qualifications:
  
  Experience designing, implementing, and deploying ML solutions;
  Expertise in Python, R, or similar programming languages;
  Experience with MLOps practices and cloud platforms (AWS, Azure, GCP);
  Proficiency in experimentation and measurement;
  Experience leading ML modeling and solution projects, including tuning/training LLM/SLMs;
  Effective problem-solving skills and ability to address complex technical challenges;
  Excellent communication and collaboration abilities across teams;
  Familiarity with Tensor Flow, PyTorch, or Scikit-learn;
  Familiarity with statistical libraries (Sci Py, Stats models, etc.);
  Knowledge of APIs and integration frameworks for scalable solutions;
  Proven ability to mentor junior team members and establish best practices;
  Experience optimizing systems for efficiency and scalability;
  Strong understanding of customer needs and translating them into actionable ML solutions;
  Excellent problem‑solving skills and ability to navigate ambiguous technical challenges;
  Effective communication and collaboration skills with a track record of working across teams.

• Salary range in the US: $ - $.
• A discretionary bonus typically paid annually.
• Restricted Stock Units granted at time of hire.
• 401(k) match and comprehensive employee benefits package.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities.