Turnitin, LLC is hiring a Senior Machine Learning Scientist to join its Applied Research team. This role focuses on developing production-grade ML and Deep Learning solutions for educational products used by millions of students and instructors worldwide. The position is fully remote with a salary range of $111,000–$185,000/year.

Job Overview

Details	Information
Company	Turnitin, LLC
Location	Atlanta, GA (Remote)
Employment Type	Full-time
Experience Level	Senior
Salary	$111,000 – $185,000 / year
Benefits	Tuition reimbursement, parental leave, health insurance, retirement plan, paid time off
Source	Indeed Listing

Key Responsibilities

• Research, design, and deploy production-grade ML and Deep Learning models optimized for large-scale educational applications.
• Collaborate with AI teams, engineering, product, and subject matter experts to solve complex product challenges.
• Curate and generate datasets, including synthetic data, ensuring high-quality input for models.
• Develop efficient pipelines for large-scale datasets (billions of samples).
• Fine-tune or train LLMs and other foundation models; leverage prompt engineering and agents.
• Optimize models for both accuracy and computational efficiency in production.
• Write clean, modular, and production-ready code with tests and documentation.
• Present findings internally and through academic publications in peer-reviewed venues.

Required Qualifications

• Master’s or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, Applied Math, or related field.
• Minimum 5 years of industry experience in ML/Deep Learning and software engineering.
• Strong understanding of mathematics and theory behind ML and Deep Learning.
• Experience with Python ecosystem, including PyTorch, PyTorch Lightning, Hugging Face, Transformers, scikit-learn, Ray, Jupyter, and Weights & Biases.
• Knowledge of LLMs, training/fine-tuning, and deployment practices.
• Excellent communication and teamwork skills; fluent in English.

Preferred Skills

• Experience in multiple modalities (text, vision, speech).
• Software development expertise, including backend APIs, front-end demos (Gradio, Streamlit, React, Flask).
• Advanced prompting, agentic systems, and LLM training/fine-tuning experience.
• DevOps proficiency (Docker, AWS EC2/Batch/Lambda).

Perks & Benefits

• Remote-first work environment with flexible schedules.
• Competitive health, wellness, and retirement benefits.
• Paid volunteer opportunities and charitable contribution match.
• Education reimbursement and professional development support.
• Generous PTO, self-care days, and observed national holidays.

How to Apply
Submit your resume and portfolio of relevant ML/AI work:

• Application Link: Indeed Listing