Senior Applied Machine Learning Scientist

Workiva

Senior Applied Machine Learning Scientist delivering AI solutions to drive business impact at Workiva. Collaborating with teams to tackle complex problems and enhance product development with AI and ML.

Posted 6/13/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $141,000 - $226,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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
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

Benefits

Comp & perks

A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire
401(k) match and comprehensive employee benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningartificial intelligencePythonRMLOpsAWSAzureGCPTensorFlowPyTorch

Soft Skills

problem-solvingmentoringcollaborationleadershipcommunicationstrategic planningadaptabilitydecision makingfostering teamworkguidance

Certifications

Bachelor's degreeMaster's degreePhD