We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.
Location: Haifa \ Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our company Agents embedded in silicon. Example domains include:
Lifetime predictions
Clustering and dimensionality reduction
Parametric modeling and screening
Time-series forecasting
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.
Location: Haifa \ Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our company Agents embedded in silicon. Example domains include:
Lifetime predictions
Clustering and dimensionality reduction
Parametric modeling and screening
Time-series forecasting
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.
Requirements:
B.Sc. in Electrical Engineering – MUST
5+ years experience in algorithm development, preferably in complex, data-intensive environments
Deep expertise in Python, including statistical and machine learning packages
Proven experience across all algorithm development phases: research, implementation, testing, deployment, and debugging Familiarity with testing frameworks (e.g., unit tests, E2E tests, performance and memory profiling)
Intensive usage of AI coding tools like Cursor or equivalent (e.g., GitHub Copilot, CodeWhisperer)
Advantage
M.Sc. or higher in Electrical Engineering, Computer Science, or a related field
Prior experience with:
HW/SW integration or ATE/Chip testing
Version control systems (e.g., Git) and CI/CD tools
Distributed compute frameworks (e.g., Spark, MLRun)
Containerization and cloud orchestration (e.g., Kubernetes, cloud APIs)
Business intelligence tools (e.g., Tableau or equivalent)
AI platforms and agents that interface with model training, data annotation, performance monitoring, or autonomous debugging
Familiarity with chip production or design methodologies.
B.Sc. in Electrical Engineering – MUST
5+ years experience in algorithm development, preferably in complex, data-intensive environments
Deep expertise in Python, including statistical and machine learning packages
Proven experience across all algorithm development phases: research, implementation, testing, deployment, and debugging Familiarity with testing frameworks (e.g., unit tests, E2E tests, performance and memory profiling)
Intensive usage of AI coding tools like Cursor or equivalent (e.g., GitHub Copilot, CodeWhisperer)
Advantage
M.Sc. or higher in Electrical Engineering, Computer Science, or a related field
Prior experience with:
HW/SW integration or ATE/Chip testing
Version control systems (e.g., Git) and CI/CD tools
Distributed compute frameworks (e.g., Spark, MLRun)
Containerization and cloud orchestration (e.g., Kubernetes, cloud APIs)
Business intelligence tools (e.g., Tableau or equivalent)
AI platforms and agents that interface with model training, data annotation, performance monitoring, or autonomous debugging
Familiarity with chip production or design methodologies.
This position is open to all candidates.
