Turnitin, LLC
Senior Machine Learning Scientist (USA Remote)
Turnitin, LLC, Washington, District of Columbia, us, 20022
Senior Machine Learning Scientist (USA Remote)
Full-time
Overview Turnitin is a global organization with a remote-centric culture. 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.
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.
Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world.
Responsibilities
Focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines).
Work with subject matter experts and product owners to determine questions to be asked and answered; curate, generate, and annotate data; 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, with visualization 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 (via prompt engineering and orchestration) and locally hosted LMs.
Stay current in the field by reading research papers, experimenting with new architectures and LLMs, and sharing findings.
Optimize models for scaled production usage and communicate insights, including model behavior and limitations, to peers and product owners.
Write clean, efficient, and modular code, with automated tests and appropriate documentation.
Stay up to date with technology and be able to explain technological decisions to the organization.
Required Qualifications
Experience with text data to build Deep Learning and ML models (supervised and unsupervised); experience in vision and speech modalities is a plus.
Strong understanding of the math and theory behind machine learning and deep learning.
Software engineering background with at least 8 years of experience (Python, SQL, Unix-based systems, git, and GitHub).
Understanding of Language Models, including training, fine-tuning, and familiarity with LM families.
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field with relevant industry experience; a Computer Science background is required.
Excellent communication and teamwork skills; fluent in written and spoken English.
Nice to Have
Familiarity with at-scale production coding, backend API services, or libraries.
Experience with advanced prompting, fine-tuning or training LLMs on open-source or cloud platforms (e.g., Mosaic or stochastic.ai).
Showcase previous work (website, presentations, open source).
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 and is determined by location and other factors such as experience, skills, degrees, licensures, and certifications. Internal equity, market and organizational factors are also considered.
Turnitin maintains a Total Rewards package competitive within the local job market, including remote-friendly benefits such as health coverage, education reimbursement, paid time off, self-care days, holidays, charitable contribution match, wellness/home office reimbursement, access to Modern Health, and retirement plan with matching.
* varies by country
Our Mission and Values Our Mission
is to ensure the integrity of global education and meaningfully improve learning outcomes.
Our Values
underpin everything we do.
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 collaborate effectively.
Global Mindset
- Respect local cultures and think globally.
Remote First Culture
Seeing Beyond the Job Ad: At Turnitin, we encourage you to apply if you meet the majority of requirements and are willing to learn and evolve with us. Turnitin, LLC is committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
#J-18808-Ljbffr
Overview Turnitin is a global organization with a remote-centric culture. 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.
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.
Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world.
Responsibilities
Focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines).
Work with subject matter experts and product owners to determine questions to be asked and answered; curate, generate, and annotate data; 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, with visualization 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 (via prompt engineering and orchestration) and locally hosted LMs.
Stay current in the field by reading research papers, experimenting with new architectures and LLMs, and sharing findings.
Optimize models for scaled production usage and communicate insights, including model behavior and limitations, to peers and product owners.
Write clean, efficient, and modular code, with automated tests and appropriate documentation.
Stay up to date with technology and be able to explain technological decisions to the organization.
Required Qualifications
Experience with text data to build Deep Learning and ML models (supervised and unsupervised); experience in vision and speech modalities is a plus.
Strong understanding of the math and theory behind machine learning and deep learning.
Software engineering background with at least 8 years of experience (Python, SQL, Unix-based systems, git, and GitHub).
Understanding of Language Models, including training, fine-tuning, and familiarity with LM families.
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field with relevant industry experience; a Computer Science background is required.
Excellent communication and teamwork skills; fluent in written and spoken English.
Nice to Have
Familiarity with at-scale production coding, backend API services, or libraries.
Experience with advanced prompting, fine-tuning or training LLMs on open-source or cloud platforms (e.g., Mosaic or stochastic.ai).
Showcase previous work (website, presentations, open source).
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 and is determined by location and other factors such as experience, skills, degrees, licensures, and certifications. Internal equity, market and organizational factors are also considered.
Turnitin maintains a Total Rewards package competitive within the local job market, including remote-friendly benefits such as health coverage, education reimbursement, paid time off, self-care days, holidays, charitable contribution match, wellness/home office reimbursement, access to Modern Health, and retirement plan with matching.
* varies by country
Our Mission and Values Our Mission
is to ensure the integrity of global education and meaningfully improve learning outcomes.
Our Values
underpin everything we do.
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 collaborate effectively.
Global Mindset
- Respect local cultures and think globally.
Remote First Culture
Seeing Beyond the Job Ad: At Turnitin, we encourage you to apply if you meet the majority of requirements and are willing to learn and evolve with us. Turnitin, LLC is committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
#J-18808-Ljbffr