Turnitin · 1 week ago
Senior Machine Learning Scientist (USA Remote)
United States
Full-time
Remote
Senior Level, Lead/Staff
$111K/yr - $185K/yr
8+ years expTurnitin is a recognized innovator in the global education space, partnering with educational institutions for over 25 years. They are seeking a Senior Machine Learning Scientist to join their global team, focusing on integrating Machine Learning into their suite of educational products and improving the overall learning experience for millions of students.
E-LearningEducationSoftware
Responsibilities
Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered
Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices
Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary
Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters
Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs
Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings
Optimize models for scaled production usage
Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners
Write clean, efficient, and modular code, with automated tests and appropriate documentation
Stay up to date with technology, make good technological choices, and be able to explain them to the organization
Qualification
Required
Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus
A strong understanding of the math and theory behind machine learning and deep learning
Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)
Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)
An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We're an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite
Excellent communication and teamwork skills
Fluent in written and spoken English
Preferred
Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries
Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda)
Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes
Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai)
Showcase previous work (e.g. via a website, presentation, open source code)
Benefits
Health Care Coverage
Education Reimbursement
Competitive Paid Time Off
4 Self-Care Days per year
National Holidays
2 Founder Days + Juneteenth Observed
Paid Volunteer Time
Charitable contribution match
Monthly Wellness or Home Office Reimbursement
Access to Modern Health (mental health platform)
Parental Leave
Retirement Plan with match/contribution
Company
Turnitin
Academic integrity starts here.
501-1000 employees
H1B Sponsorship
Turnitin has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (4)
2023 (3)
2022 (3)
2021 (6)
Funding
Current Stage
Late StageTotal Funding
unknown2019-03-06Acquired
Leadership Team
Chris Caren
CEO
Iana Mykhailenko
Director Of Engineering
Recent News
2025-11-14
2025-10-22
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