We are looking for an exceptional Deep Learning Algorithm Developer to join a new and growing team under our company's Algorithms Group. This team is building an internal AI-powered tool aimed at improving product quality by detecting edge cases and long-tail events. Were combining state-of-the-art vision and language models to revolutionize how we test, validate, and stress our autonomous systems. If youre passionate about deep learning and engineering high-impact internal tools- this is the place for you.
What will your job look like:
You will research and develop deep learning algorithms leveraging both vision and language models to automate test case discovery, identify failure modes, and mining hard data.
Youll collaborate with cross-functional teams, including algorithm developers, validation engineers, and infrastructure teams, to integrate tools into real workflows and ensure continuous improvement of our systems.
Youll have the opportunity to shape this role and the direction of the project with your initiativeany innovative approach that drives quality is encouraged.
What will your job look like:
You will research and develop deep learning algorithms leveraging both vision and language models to automate test case discovery, identify failure modes, and mining hard data.
Youll collaborate with cross-functional teams, including algorithm developers, validation engineers, and infrastructure teams, to integrate tools into real workflows and ensure continuous improvement of our systems.
Youll have the opportunity to shape this role and the direction of the project with your initiativeany innovative approach that drives quality is encouraged.
Requirements:
B.Sc. in Computer Science, Electrical Engineering, or a related field.
M.Sc. in Deep Learning, Computer Vision, NLP, or a related field- an advantage.
At least 3 years of hands-on experience in developing deep learning models.
Proven experience with Large Language Models (LLMs) and their integration into real-world applications.
Strong programming skills in Python and C++.
Familiarity with modern DL frameworks (e.g., PyTorch, TensorFlow).
B.Sc. in Computer Science, Electrical Engineering, or a related field.
M.Sc. in Deep Learning, Computer Vision, NLP, or a related field- an advantage.
At least 3 years of hands-on experience in developing deep learning models.
Proven experience with Large Language Models (LLMs) and their integration into real-world applications.
Strong programming skills in Python and C++.
Familiarity with modern DL frameworks (e.g., PyTorch, TensorFlow).
This position is open to all candidates.
