Turnitin
Department : Engineering
Company: Turnitin
Oakland, CA | Full time |
Company Snapshot
Turnitin is an innovator in global education, partnering with educational institutions for over 25 years to promote honesty, consistency, and fairness in all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services. We foster a remote-centric culture that values purpose, accountability, and overall well-being. Our diverse community of colleagues is united by a shared goal to improve education. Turnitin operates globally with team members in over 35 countries.
Role Overview / Mission
This role is integral to our ambitious product roadmap, which heavily relies on AI and data science. As a Senior AI Data Engineer, you will join a global team dedicated to building sophisticated and well-structured AI and data systems. You will be instrumental in pioneering our next generation of data and AI pipelines to enhance the team’s impact and integrate AI and data science across a broad suite of products designed to improve learning, teaching, and academic integrity.
Key Responsibilities
- Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training.
- Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.
- Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external Large Language Model (LLM) providers.
- Collaborate with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards.
- Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.
- Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies.
- Contribute to exploratory data initiatives that uncover insights from Turnitin’s extensive data resources.
- Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.
- Stay current with emerging tools and methodologies in AI data engineering, bringing recommendations to enhance our AI data infrastructure and capabilities.
Required Qualifications / Skills
- At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D.
- Strong proficiency in Python, SQL, and Infrastructure as Code (e.g., Terraform, CloudFormation).
- Experience in modern orchestration frameworks (e.g., Airflow, Prefect, or dbt).
- Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (e.g., Pinecone, Weaviate, Qdrant, or Chroma).
- Experience with MLOps tools and platforms (e.g., HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (e.g., MLflow, Weights & Biases), and model deployment pipelines.
- Experience with Large Language Models (LLMs), embedding generation, Retrieval-Augmented Generation (RAG) systems, and frameworks for orchestrating LLM interaction (e.g., LiteLLM, LangFuse, LangChain, LlamaIndex).
- Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams.
Preferred / Nice-to-Have Skills
- 6+ years of experience in data engineering with a focus on AI and machine learning projects.
- Experience in a technical leadership or mentorship role.
- Experience in education, EdTech, or academic integrity sectors.
- Experience using AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) for accelerated development.
- Familiarity with natural language processing, computer vision, or multimodal AI applications.
- Experience with data visualization (e.g., Streamlit) and data reporting.
- Passion for creatively solving complex data problems.
- Ability to work collaboratively and cross-functionally.
- A continuous learning mindset.
- A proven track record of delivering results and ensuring a high level of quality.
- Strong written and verbal communication skills.
- Curiosity about the problems at hand, the field at large, and the best solutions.
- Strong system-level problem-solving skills.
Location & Work Setup
This role operates within a remote-first culture. Turnitin is a global organization with team members in over 35 countries.
Compensation & Benefits
Turnitin offers a competitive Total Rewards package designed to prioritize overall well-being. Benefits include:
- Health Care Coverage (varies by country)
- Education Reimbursement (varies by country)
- Competitive Paid Time Off, including 4 Self-Care Days per year, National Holidays (varies by country), 2 Founder Days, and Juneteenth Observed.
- Paid Volunteer Time (varies by country)
- Charitable contribution match (varies by country)
- Monthly Wellness or Home Office Reimbursement (varies by country)
- Access to Modern Health (mental health platform)
- Parental Leave (varies by country)
- Retirement Plan with match/contribution (varies by country)
Timezone: Europe/London
Posted: Sep 09, 2025