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.
מלאה
30,000-45,000 ₪
we are a pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car a large-scale, multi-task neural network that powers the core of our companys autonomous stack. Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If youre a brilliant, hands-on researcher with a passion for shaping the future this is your launchpad.
Why us?
Our team is at the forefront of our companys most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers this is the place to be.
Why us?
Our team is at the forefront of our companys most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers this is the place to be.
Requirements:
PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
4+ years of hands-on experience developing deep learning algorithms in Python.
Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
Excellent problem-solving skills and a research-oriented mindset.
Advantages:
Industry experience in DL or software development.
Familiarity with hardware-aware model optimization.
Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.
Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.
PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
4+ years of hands-on experience developing deep learning algorithms in Python.
Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
Excellent problem-solving skills and a research-oriented mindset.
Advantages:
Industry experience in DL or software development.
Familiarity with hardware-aware model optimization.
Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.
Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.
This position is open to all candidates.
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.
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