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
18,000-30,000 ₪
Required Reinforcement Learning Researcher | Learned-Policy Group
About the team:
What will your job look like?
Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
Train and evaluate RL policies for difficult, interactive driving scenarios,
building on the existing learning-based planner and complementary classical components.
Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures.
Build simulation-based training and closed-loop evaluation workflows.
Turn research ideas into reliable components of the driving stack.
About the team:
What will your job look like?
Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
Train and evaluate RL policies for difficult, interactive driving scenarios,
building on the existing learning-based planner and complementary classical components.
Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures.
Build simulation-based training and closed-loop evaluation workflows.
Turn research ideas into reliable components of the driving stack.
Requirements:
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related
field.
3+ years of hands-on industry experience in deep learning, including designing
and training neural networks.
Hands-on reinforcement-learning experience through research or practical
application.
Experience in autonomous driving, robotics, motion planning, simulation, or
closed-loop evaluation- an advantage.
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related
field.
3+ years of hands-on industry experience in deep learning, including designing
and training neural networks.
Hands-on reinforcement-learning experience through research or practical
application.
Experience in autonomous driving, robotics, motion planning, simulation, or
closed-loop evaluation- an advantage.
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.
רעננה
