עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום אחר

תל אביב - יפו

חברה בתחום אחר

תל אביב - יפו
מלאה
22,000-32,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

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.

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.

Requirements:
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.

This position is open to all candidates.