Senior Machine Learning Scientist (UK, Mexico 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. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate.
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.
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 at least 3-5 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review).
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.
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, open-source or cloud, 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. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility.
Our Mission
is to ensure the integrity of global education and meaningfully improve learning outcomes.
Our Values
underpin everything we do.
Customer Centric
- We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do.
Passion for Learning
- We seek out teammates that are constantly learning and growing.
Integrity
- We believe integrity is the heartbeat of Turnitin.
Action & Ownership
- We have a bias toward action and empower teammates to make decisions.
One Team
- We strive to break down silos, collaborate effectively, and celebrate each other’s successes.
Global Mindset
- We respect local cultures and embrace diversity.
Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team!
#J-18808-Ljbffr
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. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate.
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.
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 at least 3-5 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review).
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.
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, open-source or cloud, 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. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility.
Our Mission
is to ensure the integrity of global education and meaningfully improve learning outcomes.
Our Values
underpin everything we do.
Customer Centric
- We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do.
Passion for Learning
- We seek out teammates that are constantly learning and growing.
Integrity
- We believe integrity is the heartbeat of Turnitin.
Action & Ownership
- We have a bias toward action and empower teammates to make decisions.
One Team
- We strive to break down silos, collaborate effectively, and celebrate each other’s successes.
Global Mindset
- We respect local cultures and embrace diversity.
Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team!
#J-18808-Ljbffr
