Senior Machine Learning Scientist (Mexico, UK or Poland)

Senior Machine Learning Scientist (Mexico, UK or Poland)

• Full-time

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. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Machine Learning is integral to the continued success of our company. 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.

Responsibilities and Requirements:

We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will 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).

Day-to-day, your responsibilities are to:

• 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.

Required Qualifications:

• Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised.
• A strong understanding of the math and theory behind machine learning and deep learning.
• Software engineering background with 3-5 years of experience (waived for a PhD in Computer Science or related).
• 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.
• Excellent communication and teamwork skills.
• Fluent in written and spoken English.

Would be a plus:

• Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries.
• Experience with advanced prompting, fine-tuning or training an LLM, using industry accepted platforms.
• Showcase previous work (e.g. via a website, presentation, open source code).

Total Rewards @ Turnitin
Turnitin maintains a Total Rewards package that is competitive within the local job market. 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 Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.