Staff Applied Machine Learning Scientist

Workiva is seeking a Staff Applied Machine Learning Scientist to join our innovative team. In this role, you will deliver high-quality technology solutions, guide teams through complex challenges, and play a pivotal role in defining the medium-to-long-term technical strategy for impactful ML initiatives. If you excel in solving ambiguous problems, thrive in collaborative environments, and are passionate about applying machine learning to deliver business value, this opportunity is for you.

Join us to tackle cutting-edge challenges and make an impact through innovative machine learning applications.

What You'll Do

• Own and deliver high-quality ML solutions that drive business impact and align with team objectives

• Develop and maintain scalable infrastructure and libraries for machine learning applications

• 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

• 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 model development and serving

• 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

What You'll Need

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field, or equivalent experience

• 4+ years of professional experience in applied machine learning or AI science

• Proficiency in designing, implementing, and deploying ML solutions

• Expertise in Python, R, or similar programming languages

• Experience with MLOps practices and cloud platforms (AWS, Azure, GCP)

Preferred Qualifications

• Advanced degree (Master's or PhD) in a relevant field

• 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 TensorFlow, PyTorch, or Scikit-learn

• 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

Travel Requirements and Working Conditions

• Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests

• Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

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.

Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

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.