Machine Learning Engineer (ADAS)

TL;DR

Machine Learning Engineer (ADAS): Developing and optimizing computer vision and 3D perception models for autonomous driving systems with an accent on end-to-end ML lifecycle management and scalable data pipeline construction. Focus on solving complex perception challenges like detection, classification, and instance segmentation to improve real-world driving performance.

Location: Herzliya, Israel (Hybrid)

Company

hirify.global is a leading developer of Embodied AI technology, creating mapless and hardware-agnostic AI products to accelerate the transition to automated driving.

What you will do

• Train, debug, and improve computer vision and 3D perception models.
• Build and maintain scalable data pipelines, including auto-labelling and pseudo-labelling.
• Iterate on models based on performance evaluation signals and system gaps.
• Contribute to offline pipelines such as tracking and 3D reconstruction.
• Partner with cross-functional teams to define technical priorities and model improvements.

Requirements

• Proven experience building and shipping CV-focused deep learning systems.
• Strong applied ML engineering skills with experience in 3D perception concepts (e.g., LiDAR, multi-view geometry, tracking).
• Ability to own work end-to-end, including evaluation and dataset generation.
• Pragmatic problem-solving skills and experience working under real product constraints.
• Comfortable working in a hybrid environment in Herzliya.

Culture & Benefits

• Meaningful equity participation in the company.
• Hybrid working model with core hours and access to vehicle workshops.
• Learning and development budgets for training and conferences.
• Comprehensive benefits including health insurance, dental, and wellbeing partnerships.
• Inclusive work environment valuing diversity and collaborative impact.

Hiring process

• Initial recruiter screen (30 mins).
• Competency interviews covering programming and system design (2 hours).
• Deep-dive technical domain-specific interview (1 hour).
• Final mission and values alignment interview (1 hour).