Senior Applied Machine Learning Scientist
About The Position
Workiva 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.
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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
