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Were building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.
In this role, youll:
Research and develop next-gen code analysis and remediation algorithms
Work hands-on with GenAI models and integrate them into detection workflows
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations.
What You'll Do:
Design and implement machine learning and algorithmic solutions for code analysis
Build GenAI-powered developer tools for static and semantic code analysis
Enhance our existing detection infrastructure with intelligent, context-aware insights
Translate cutting-edge research into practical, scalable product features

We are offering you to take a vital role in our research team that is responsible for constantly driving forward our ability to detect accessibility issues, enhancing the intelligence of our platform to provide customers with insights and usability enhancements that allow them to work more efficiently, and building innovative new products

To achieve those ends the team employs classic algorithms, data analysis, machine learning and generative AI.

You will be joining a team of highly professional and innovative engineers and scientists that are driven by passion for the domain and the mission of the company. We value scientific and engineering excellence, are committed to creating high impact products that reach our customers and work in collaboration with each other in an egoless environment.

Your Impact:
Research, design and implement new detection algorithms for web accessibility issues and improve existing ones.
Ensure all research is well documented and reproducible.
Build and enhance tools that enable data collection, labeling and analysis at scale for research purposes.
Integrate new models and algorithms into existing products.
Build interfaces for projects in the POC phase to enable demonstration and the collection of feedback from internal users and select design partners.

Were based in Tel Aviv, 5 minutes from Hashalom train station, and Yehudit light train station, and we have our own parking lot. We work in a hybrid mode, with flexible working hours.