About the job
Join Turnitin, a pioneering leader in the global education sector, where we have spent over 20 years collaborating with educational institutions to uphold principles of honesty, consistency, and fairness in assessments across all subjects. Our innovative products and services are utilized by more than 16,000 academic institutions, publishers, and corporations.
At Turnitin, our default working model is remote, reflecting our respect for diverse cultures and personal choices. Headquartered in Oakland, our global presence includes offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), and Amsterdam (Netherlands). We cherish diversity and are committed to creating a community where every employee has equal access to learning and career opportunities, fostering a unique approach to talent recruitment from various backgrounds.
As a Senior Machine Learning Scientist, you will play a crucial role in our ambitious product roadmap, working within a global team of dedicated scientists and engineers. Together, we aim to deliver innovative, well-engineered Machine Learning systems that integrate seamlessly into a wide array of learning, teaching, and integrity products.
Your contributions will impact educators and students worldwide, as our Machine Learning technologies reach hundreds of thousands of instructors and millions of learners. With billions of papers submitted to the Turnitin platform and hundreds of millions of assessments graded on Gradescope and ExamSoft, your work will be at the forefront of revolutionizing educational tools.
Key Responsibilities:
- Collaborate with subject matter experts and product owners to identify research questions and actionable insights.
- Curate, generate, and annotate datasets while adhering to responsible data collection and model maintenance practices.
- Translate raw data into trainable datasets using efficient SQL queries and scripting, visualizing results as needed.
- Develop and optimize machine learning models, ensuring robustness and readiness for production environments.

