Sentra is on a mission to enable cloud-driven organizations to regain control and secure their full data lifecycle. We are a fast-growing start-up company, located in Tel Aviv (near a train station) with a very strong founding team. We're seeking a talented AI Research Engineer to join our Classification team in the R&D Data group.
This role combines research, engineering and analytical thinking to make our AI-driven data classification accurate and reliable for our customers. We combine regex and rule-based classifiers with fine-tuned ML models (NER and text classification), along with great engineering and analytics, to deliver findings on millions of files and tables a day.
- Research, design and ship new classification capabilities that expand coverage of sensitive data types, owning the end-to-end process from research and experiments through production deployment.
- Evaluate and tune our classifiers (regex, dictionaries, fine-tuned NER and text classification models): build ground truth sets, measure precision and recall, find the root cause of false positives and false negatives, and fix them.
- Build automated evaluation and benchmark workflows to compare classifier versions and catch quality regressions before they reach customers.
- Design, build, and maintain data pipelines and dashboards to track classification quality and product performance, and deliver actionable insights to stakeholders at all levels.
- Work with customers' real-world data problems: support PoCs and customers with deep classification analysis, and turn their feedback into product improvements.
- Work from within the R&D Data team, take part in the discussions revolving around Sentra's AI research objectives, priorities and solutions.
- 3+ years of hands-on experience in data analysis, data science or ML engineering in a B2B SaaS company
- Proficiency with Python and SQL; experience with Spark or similar technologies
- Strong regular expressions skills: write, test and tune patterns, and explain their false positive behavior
- Experience designing experiments and measuring model quality (precision, recall, error analysis)
- Experience building and maintaining data pipelines, ETL processes, and workflow orchestration tools (Airflow, Dagster, or similar)
- Degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics
- Understanding of software development best practices (Git, CI/CD, testing)
- Can-do attitude. Problem solving skills, self-starter, proactive mindset
- Advantage:
- Previous experience in the cybersecurity domain (DSPM, DLP, data classification)
- Experience with cloud environments (AWS, Azure, GCP)
- Experience fine-tuning NLP models (for example NER or text classification) or using LLMs in daily work
Skills Required
- 3+ years of hands-on experience in data analysis, data science, or ML engineering in a B2B SaaS company
- Proficiency with Python and SQL
- Experience with Spark or similar technologies
- Strong regular expressions skills, including writing, testing, tuning, and explaining false-positive behavior
- Experience designing experiments and measuring model quality using precision, recall, and error analysis
- Experience building and maintaining data pipelines, ETL processes, and workflow orchestration tools such as Airflow, Dagster, or similar
- Degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative field
- Understanding of software development best practices, including Git, CI/CD, and testing
- Previous experience in cybersecurity, DSPM, DLP, or data classification
- Experience with cloud environments such as AWS, Azure, or GCP
- Experience fine-tuning NLP models, such as NER or text classification models, or using LLMs
What We Do
Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security. Sentra ensures data is secured no matter where it travels by automatically detecting vulnerabilities, misconfigurations, over-permissions, unauthorized access, data duplication and other security issues. It achieves this by intelligently discovering and classifying sensitive data, proactively managing security posture, enforcing granular access controls, and swiftly detecting and responding to threats. Its AI-powered platform automates complex tasks, adapts to evolving data landscapes, and provides enterprise-grade security with expert support. The company was founded in 2021 and is co-headquartered in New York City and Tel Aviv. For more information, please visit www.sentra.io.
