Applied Machine Learning Scientist

Workiva is seeking an Applied Scientist to join our innovative AI and Machine Learning team. In this role, you will contribute to the design, development, evaluation, and deployment of AI and ML solutions that create meaningful business and customer value.

You will work closely with experienced scientists, engineers, product managers, and cross-functional stakeholders to turn data, research ideas, and customer needs into reliable product capabilities. This is an opportunity for an early-career applied scientist who enjoys experimentation, learning quickly, writing high-quality code, and solving real-world problems with machine learning and AI.

Join us to tackle meaningful challenges and make an impact through innovative machine learning and AI applications.

What You’ll Do

• Contribute to the development, testing, and deployment of AI and ML solutions that support team objectives and deliver customer or business value.
• Build, evaluate, and iterate on machine learning models, experiments, prototypes, and data-driven features with guidance from senior technical team members.
• Assist with data preparation, feature development, model training, model evaluation, error analysis, and experiment documentation.
• Write clean, efficient, testable, and maintainable code in support of ML and AI applications.
• Partner with applied scientists, engineers, product managers, and stakeholders to understand requirements and translate them into technical tasks.
• Participate in experimentation and measurement practices, including defining hypotheses, selecting evaluation metrics, and interpreting results.
• Help develop and maintain reusable tools, libraries, datasets, and workflows that support the ML development lifecycle.
• Support the integration of models and AI capabilities into scalable product and platform solutions.
• Learn and apply MLOps, cloud, observability, testing, and operational practices throughout the model development lifecycle.
• Assist with monitoring and improving existing ML systems, including model quality, performance, reliability, and efficiency.
• Document technical approaches, experiment results, model limitations, and implementation decisions.
• Participate in code reviews, design discussions, team planning, and knowledge-sharing activities.
• Stay current with relevant developments in machine learning, generative AI, LLMs, statistical modeling, and applied AI techniques.
• Contribute ideas that improve the team’s experimentation culture, engineering practices, and product outcomes.

What You’ll Need

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field; equivalent practical experience may be considered.
• 0–2 years of hands-on experience through professional work, internships, research, coursework, or projects in machine learning, AI, data science, software engineering, or a related technical area.

Preferred Qualifications

• Proficiency in Python, R, or a similar language for data analysis, model development, or software development.
• Foundational knowledge of machine learning, including data preparation, feature engineering, training, validation, model evaluation, and common performance metrics.
• Familiarity with ML and data-science tools such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, pandas, NumPy, SciPy, or Statsmodels.
• Exposure to generative AI, including prompt engineering, retrieval-augmented generation, embeddings, LLM evaluation, fine-tuning, or agentic workflows.
• Familiarity with SQL, APIs, data pipelines, model-serving concepts, cloud platforms, or MLOps practices.
• Exposure to software-engineering practices such as Git, code review, testing, CI/CD, or containers.
• Strong analytical, communication, and collaboration skills, with curiosity and a willingness to learn in a fast-moving applied AI environment.
• Interest in building responsible, reliable, and measurable AI solutions that address customer needs.

Working Conditions & Travel Requirement

• Minimal travel required, up to 10%.
• Reliable internet access is required for any period of time working remotely and not in a Workiva office.

How You’ll Be Rewarded

✅ A discretionary bonus typically paid annually

✅ Restricted Stock Units granted at time of hire

✅ 401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

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. To request assistance with the application process, please email [email protected].
 

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.