Senior ML Algorithm Engineer

Description Chips Talk, We Listen proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics. Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech. Why proteanTecs is a great place to work: • Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics. • Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment. • International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry. • Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products. • Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs. • Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics. • We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth. 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: Tel-Aviv in hybrid model. 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 Responsibilities • Develop advanced ML algorithms using data from proteanTecs 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.