Senior Machine Learning Researcher and Algorithm Engineer
Join a core machine learning group within a semiconductor and hardware systems R&D organization. Own research and development from problem formulation and data collection through algorithm design, validation, and production deployment for storage, security, and hardware reliability applications.
Responsibilities
- Formulate machine learning problems and lead data collection, algorithm design, proof-of-concept validation, and production deployment
- Design and optimize predictive models for high-frequency time-series and tabular hardware telemetry
- Collaborate with hardware designers, firmware engineers, and system architects on hardware-software integration
- Develop machine learning solutions for storage systems, security, and hardware reliability
- Contribute technical reports, patent applications, and research publications
- Integrate AI productivity tools and software agents into debugging, code generation, and technical documentation workflows
Requirements
- M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a closely related quantitative field
- At least 5 years of professional experience designing, developing, and deploying machine learning algorithms in production environments
- Extensive practical experience with machine learning models for time-series and tabular data
- Production-grade Python programming and hands-on PyTorch expertise
- Experience using AI-assisted engineering tools, LLM workflows, or AI agents for development, debugging, and research documentation
- System-level understanding that connects mathematical research with low-level hardware constraints
- Excellent technical writing skills and readiness to contribute to patents and research publications
Nice to have
- Experience authoring patents or research publications
Benefits
- Flexible hybrid work model with work-from-home options
- Accessible Tel Aviv-area location with public transit and train connections