[Remote] Senior Machine Learning Scientist - Applied Research (USA Remote)

Note: The job is a remote job and is open to candidates in USA. Turnitin is a recognized innovator in the global education space, seeking a Senior Machine Learning Scientist to join their applied research team. The role involves developing and optimizing production-grade Machine Learning models and collaborating with various teams to integrate solutions into educational products.

Responsibilities

• Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage
• Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions
• Help out with ad-hoc one-off tasks as a team player within the AI team
• Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality
• Investigate weaknesses of models in production and work on pragmatic solutions
• Utilize, adopt, and fine-tune off the shelf models, including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models
• Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings
• Write clean, efficient, and modular code with automated tests and appropriate documentation
• Stay up to date with technology and platforms, make good technological choices, and be able to explain them to the organization
• Work with downstream teams to productionize your work and ensure that it makes into a product release
• Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners
• Present and publish your work

Skills

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering
• At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering
• A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite
• Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc
• Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)
• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families
• Excellent communication and teamwork skills
• Fluent in written and spoken English
• 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 Computer Science educational background is preferred as opposed to statistics or pure mathematics
• Familiarity in building front-ends (Gradio, Streamlit, Dash or more standard React, Javascript, Flask) for simple demos, POCs and prototypes
• Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM, using industry accepted platforms
• Showcase previous work (e.g. via a website, presentation, open source code)
• 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)

Benefits

• Remote First Culture
• 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 Overview

• Academic integrity starts here. It was founded in 1996, and is headquartered in Oakland, California, USA, with a workforce of 501-1000 employees. Its website is http://www.turnitin.com/.

Company H1B Sponsorship

• Turnitin has a track record of offering H1B sponsorships, with 5 in 2025, 4 in 2024, 3 in 2023, 3 in 2022, 6 in 2021. Please note that this does not guarantee sponsorship for this specific role.

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