Description:

Turnitin is a recognized innovator in the global education space, partnering with educational institutions for over 25 years to promote honesty, consistency, and fairness.
The company has a remote-first culture that empowers employees to work with purpose and accountability, supported by a comprehensive well-being package.
The Principal Machine Learning Scientist will join a global team focused on delivering cutting-edge Machine Learning systems integrated into a suite of learning, teaching, and integrity products.
The role involves developing novel and deployable ML models and solutions, requiring a strong understanding of the mathematics of machine learning and deep neural networks.
Responsibilities include researching and developing Machine Learning models, optimizing them for production, collaborating with various teams, curating datasets, investigating model weaknesses, and presenting findings.

Requirements:

A Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math, or related field, or outstanding achievements in Deep Machine Learning.
At least 10 years of industry experience in Machine/Deep Learning, Computer Science, and Software Engineering.
A strong understanding of the math and theory behind machine learning and deep learning is essential.
Academic publications in peer-reviewed conferences or journals related to Machine Learning, preferably A/A+ rated.
Proficiency in Machine/Deep Learning development skills, including popular platforms such as AWS SageMaker, Hugging Face, and PyTorch.
Excellent communication and teamwork skills, with fluency in written and spoken English.

The expected annual base salary range for this position is $147,300 to $245,000, with eligibility for bonuses or commissions.
Employees enjoy a remote-first culture that supports flexibility and accountability in their work.
Total rewards include generous time off, health care coverage, education reimbursement, self-care days, and paid volunteer time off.
Additional benefits include parental leave, a retirement plan with matching contributions, and access to an Employee Assistance Program for mental health support.

Skills