Research Engineer Intern - Applied ML & AI
About the job
- Be a current PhD student in Computer Science, Data Science, Machine Learning, Computer Vision, Natural Language Processing, or a related quantitative field.
- Have strong software engineering fundamentals and practical, hands-on machine learning experience.
- Demonstrate research autonomy by formulating hypotheses, designing and running experiments, and communicating findings effectively.
- Be comfortable working with noisy, unstructured, real-world data.
- Have a background in video/audio processing, behavioral modeling, or anomaly detection.
- Have Natural Language Processing expertise, particularly with Hebrew or multilingual domain models.
- Have exposure to educational technology, psychometrics, or learning analytics.
- Be familiar with cloud infrastructure, including AWS.
- Be able to context-switch between PhD demands and engineering team paces.
- Be able to formulate hypotheses and test ideas independently.
- Be able to explain complex AI concepts to the CTO and development team.
- Work directly alongside the CTO and engineering team on active production systems serving tens of thousands of students worldwide.
- Conduct research on exam integrity and behavioral analysis, combining multiple data streams into a coherent, explainable integrity model.
- Research AI applications for educational assessment and analytics to uncover insights and drive AI implementations.
- Identify insights in datasets and propose new product features.
- Exposure to educational technology, psychometrics, or learning analytics.
About the company
Tomax Think Academy powers complete assessment infrastructure for universities and government agencies. It provides an integrated platform that covers item banking, exam delivery (digital, paper, or hybrid), integrated proctoring, automated grading, and analytics in one system. Exams can run offline with automatic data synchronization when connectivity returns, ensuring reliability under pressure. Institutions can consolidate tools and reduce administrative overhead—reports show a 60% cut—while the platform scales from small courses to national licensing exams with up to 100,000 concurrent test-takers. Over 100 institutions and agencies use the platform to manage high-stakes assessments for more than 500,000 examinees annually. The goal is to give organizations full control over their assessment operations and improve efficiency and integrity across the entire assessment lifecycle.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
2004
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Simplify's Take
What believers are saying
- Tomax posted five 2026 product essays, signaling active platform investment.
- CES 2026 exposure for Think Academy's Class+ raised brand awareness beyond Israel.
- Tomax keeps hiring in 2026, including QA, product, and sales roles.
What critics are saying
- Canvas, Moodle, and Blackboard can absorb Tomax modules and compress pricing.
- AI plagiarism tools and native LMS analytics weaken Tomax's core assessment pitch.
- If universities cut outsourcing, Tomax loses the proctoring and implementation revenue spine.
What makes Tomax Think Academy unique
- Tomax runs one assessment stack across online, paper, and mixed exams.
- Tomax says its software serves 100+ universities with international expansion underway.
- Tomax added K-12 through Smart School in August 2025.
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Benefits
- Hybrid Work Options