.Senior Machine Learning Scientist (Mexico, UK or Poland)Full-timeWhen 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.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.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.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.Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field.Excellent communication and teamwork skills.Fluent in written and spoken English.Would be a plus:Familiarity in coding for at-scale production.Experience with advanced prompting, fine-tuning or training an LLM.Showcase previous work (e.G