Computer Vision and 3D Perception Engineer (Autonomous Driving)

Location: London, United Kingdom; hybrid working model with in-person collaboration in office spaces and remote work

Company

hirify.global develops an AI platform for autonomous driving that enables vehicles to learn from real-world driving experience and adapt at scale.

What you will do

• Train, debug, evaluate, and improve computer vision and 3D perception models for ADAS.
• Work across the full machine learning lifecycle, including data preparation, training, evaluation, and iteration.
• Develop perception capabilities for lanes, objects, traffic signs, and traffic lights, including detection, classification, and instance segmentation.
• Build scalable data pipelines for auto-labelling and pseudo-labelling.
• Develop online perception systems for fast in-car production execution.
• Use offline models, 3D tracking, reconstruction, additional sensors, future frames, maps, and extra compute to improve data quality and coverage.

Requirements

• Experience building and shipping computer-vision-focused deep learning systems with strong applied machine learning engineering practice.
• Experience with 3D perception concepts or pipelines, such as LiDAR, multi-view geometry, tracking, or 3D reconstruction.
• Ability to own work end-to-end, including evaluation and large-scale dataset generation.
• Pragmatic problem-solving skills under real product constraints.
• Interest in improving real-world driving performance through better perception.
• Ability to work in a hybrid setup based in London, United Kingdom.

Nice to have

• Automotive or autonomous-driving domain experience.

Culture & Benefits

• Hybrid working with core hours and hands-on work in vehicle workshops and labs.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salary, meaningful equity, and learning and development budgets.
• Health insurance, dental coverage, enhanced maternity and paternity leave, retirement or pension benefits where applicable, therapy access, and wellbeing discounts.
• Work in an evolving environment with significant individual ownership.

Hiring process

• Initial recruiter call lasting approximately 30 minutes.
• Competency interviews covering programming and system design, followed by deep-dive technical interviews.
• Final interview focused on mission and values alignment.