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Staff Applied Machine Learning Scientist
Workiva
- Location
- United States of America
- Posted
Staff Applied Machine Learning Scientist at Workiva
Workiva
Staff Applied Machine Learning Scientist at Workiva
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Workiva
Workiva is seeking a Staff Applied Machine Learning Scientist to join their innovative team. The role involves delivering high-quality technology solutions, guiding teams through complex challenges, and defining the medium-to-long-term technical strategy for impactful ML initiatives. As an applied machine learning scientist, you will own and deliver high-quality ML solutions that drive business impact and align with team objectives. You will collaborate with stakeholders to define project goals, solve ambiguous problems, and lead technical initiatives. The ideal candidate should have a strong background in machine learning, Python, R, or similar programming languages, and experience with MLOps practices and cloud platforms. Workiva offers a competitive salary range of $129k-$207k per year, along with benefits such as a discretionary bonus, restricted stock units, and comprehensive employee benefits package.
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
✅ Salary range in the US: $129,000.00 - $207,000.00
✅ 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.
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 [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.
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