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 development. Focus on solving complex perception challenges like detection, classification, and instance segmentation to improve real-world driving performance.

Location: Must be based in or able to relocate to Leonberg, Germany (Hybrid model).

Company

hirify.global is a leading developer of Embodied AI technology, creating mapless and hardware-agnostic AI software for autonomous driving.

What you will do

• Train, debug, and improve computer vision and 3D perception models.
• Manage the full ML lifecycle from data generation to model evaluation and iteration.
• Build scalable data pipelines, including auto-labelling and pseudo-labelling.
• Contribute to offline pipelines like tracking and 3D reconstruction.
• Partner with the team to identify and address system performance gaps.
• Work on core ADAS capabilities such as detection, classification, and instance segmentation.

Requirements

• Proven experience building and shipping CV-focused deep learning systems.
• Strong applied ML engineering skills with a focus on real-world product constraints.
• Experience with 3D perception concepts such as LiDAR, multi-view geometry, or tracking.
• Ability to own work end-to-end, including evaluation and dataset generation.
• Must be able to work in a hybrid model from our Leonberg office.
• Passion for autonomy and willingness to learn and adapt in a fast-paced environment.

Culture & Benefits

• Meaningful equity in a high-growth AI company.
• Hybrid working model with core hours and hands-on lab access.
• Comprehensive health insurance, dental, and wellbeing partnerships.
• Learning and development budgets for conferences and training.
• Relocation support and visa sponsorship where applicable.
• Inclusive culture valuing diversity and collaborative problem-solving.

Hiring process

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