Senior Applied Machine Learning Scientist
WorkivaWorkiva is seeking a Senior 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 and AI applications.
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
What You’ll Need
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 TensorFlow, PyTorch, or Scikit-learn
Familiarity with statistical libraries (SciPy, Statsmodels, 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
Working Conditions & Travel Requirement
Minimal travel required (Up to 10%)
Reliable internet access for any period of time working remotely, not in a Workiva office
How You’ll Be Rewarded
✅ Salary range in the US: $141,000.00 - $226,000.00✅ 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 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.
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