Senior Applied Machine Learning Scientist

🕒 Yesterday

🇺🇸 United States – Remote

💵 $141k - $226k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Workiva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

☁️ SaaS

💸 Finance

📋 Compliance

SaaS • Finance • Compliance

Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.

📋 Description

• 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

• 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

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