Machine Learning Researcher

Autobrains is a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.

At Autobrains, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.

Autobrains is backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast and Knorr-Bremse, with headquarters at the heart of Tel Aviv.

If you're excited about researching unsolved machine learning problems and have a weakness in building a full-scale infrastructure to do so, we encourage you to apply for this role as an ML Researcher at Autobrains.

Responsibilities

• Design algorithms from first-order principles to resolve edge cases of neural nets, given a binary representation of these edge cases.
• Apply tools from deep-learning, machine learning, classical algorithms, data structures, etc.
• Implement your algorithm elegantly in Python, and supply performance indicators to validate the performance of your design.

Requirements

• MSc.in relevant disciplines (e.g., EE/CS/Applied Math/Physics) - Must
• 4 years of industry experience in research positions in Deep Learning, Computer Vision, and Machine Learning.
• Experience with self-supervised learning is an advantage
• Experience with active learning is an advantage
• Availability for a full-time position from our office HQ in Tel Aviv (Non Hybrid)

Attributes

• Technical expertise: Deep understanding of classical algorithms, math, statistics, probability, optimization theory, and data structures.
• Problem-solving skills: Ability to identify problems, evaluate alternatives, and implement effective solutions.
• Ability to work rapidly changing constrains and dynamic tasks
• Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results
• Good interpersonal skills both in day-to-day interaction for achieving team development goals, and in communicating ideas inside/outside the team.