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Open nowFirst seen 11 hours ago

Senior ML Algorithm Engineer

proteantecs/d5.00e15 open roles

Where
Israel - Tel Aviv
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Hybrid
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Your applicationOpen nowSenior ML Algorithm Engineerproteantecs/d5.00e · Israel - Tel Aviv
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This job: first seen 11 hours ago

The posting

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.
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