Senior Machine Learning Scientist - Applied Research (...

Senior Machine Learning Scientist - Applied Research (USA Remote) Full-time Overview When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Responsibilities Research and develop production-grade Machine Learning models and optimize them for scaled production usage. Collaborate with the AI team, engineering, product management, marketing, sales, and customer support to explore product issues and opportunities, and propose innovative ML/AI-based solutions. Contribute to ad-hoc tasks as a team player within the AI team. Curate and generate optimal datasets with responsible data collection and model maintenance practices. Explore SQL, No-SQL, and web data; write efficient parallel pipelines; review and design datasets for data quality. Investigate weaknesses of models in production and develop pragmatic solutions. Utilize, adopt, and fine-tune off-the-shelf models, including LLMs via API (prompt engineering and agents) and locally hosting LMs and other foundation models. Stay current in the field by reading research papers, experimenting with new architectures and LLMs, and sharing findings. Write clean, efficient, modular code with automated tests and documentation. Make informed technology choices and explain them to the organization; productionize work with downstream teams for product releases. Communicate insights and the behavior and limitations of models to peers, subject matter experts, and product owners. Present and publish your work. Required Qualifications Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding achievements demonstrating excellence in Deep ML, CS and Software Engineering. At least 5 years of industry experience in Machine/Deep Learning, CS and Software Engineering (Python ecosystem). Strong understanding of the math and theory behind machine learning and deep learning. Academic publications in peer-reviewed conferences or journals related to ML, preferably A/A+ rated venues (e.g., NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, CVPR, ICCV, ECCV, etc.). Understanding of Language Models, training/fine-tuning, and familiarity with industry-standard LM families. Excellent communication and teamwork skills; fluent in written and spoken English. Would be a Plus Software development proficiency; experience with text data to build DL/ML models (supervised and unsupervised). Experience with DL in other modalities such as vision and speech. Computer Science educational background preferred over statistics or pure mathematics. Experience with advanced prompting, agentic systems, and fine-tuning or training LLMs using industry platforms. Showcase previous work (website, presentations, open source code). Experience coding for at-scale production, including backend API services or stand-alone libraries. Compensation and Benefits The expected annual base salary range for this position is $111,000/year to $185,000/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and factors including experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards and Our Mission Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. Beyond regular pay plus bonus, Turnitin offers generous time off, health and wellness programs, remote-centric work, and a comprehensive package prioritizing well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values Customer Centric - Put educators and learners at the center of everything we do. Passion for Learning - Encourage continual learning and growth. Integrity - The heartbeat of Turnitin in products and interactions. Action & Ownership - Bias toward action and decision-making. One Team - Break down silos and celebrate successes together. Global Mindset - Respect cultures and embrace diversity, think globally and act locally. Remote First Culture Other benefits vary by country and include Health Care Coverage, Education Reimbursement, Competitive Paid Time Off, 4 Self-Care Days per year, National Holidays, Charitable contribution match, Wellness/Home Office reimbursement, access to Modern Health, and Retirement Plan with match/contribution. Equal Opportunity Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

Created: 2025-09-17