Expert Machine Learning Engineer

Description

The team designs, builds and validates systems that make vehicles safer and more comfortable, with a focus on computer vision and machine learning for exterior cameras.

Features include vehicle and pedestrian detection, lane detection, and traffic sign and traffic light recognition.

The company is a major radar and camera supplier that also offers sensing and compute hardware and software. You will join an international team of computer vision and machine learning specialists in a fast-growing part of the business.

Responsibilities

• Design, train, evaluate and tune current machine learning models for camera-based perception.
• Work with transformers, vision transformers, convolutional neural networks, representation learning and self-supervised learning.
• Improve accuracy, robustness, generalization, compute cost and inference latency.
• Pass on knowledge and raise engineering standards across the team.
• Work with software, system and validation engineers and other AI/ML specialists across the organization.

Requirements

• Master's degree or higher in computer science, applied mathematics or a closely related field.
• Hands-on experience with several of the following: transformers and vision transformers, convolutional neural networks, representation learning, self- or semi-supervised learning, classical computer vision, large-scale model training.
• Solid grounding in linear algebra, probability and optimization.
• Strong Python skills and experience writing maintainable code to production standard.
• You care about quality, including testing, documentation, code review and reproducible work.
• Strong analytical and problem-solving skills.
• Clear written and spoken English.
• Preferred: experience with Rust or C++.
• Preferred: experience building production-grade AI solutions.
• Preferred: experience with Git, CI/CD and Agile development.
• Preferred: familiarity with ADAS, autonomous driving or automotive datasets.
• Preferred: understanding of classical computer vision and camera calibration.
• Preferred: experience with large-scale training infrastructure.
• Preferred: familiarity with embedded or resource-constrained AI deployment.

Conditions

Hybrid work, with at least 47 days a year remote.

Flexible working hours.

The company welcomes candidates from every background.

Benefits

• Private health care through Signal Iduna and life insurance covering you and your loved ones.
• Well-being program with regular webinars, workshops and networking events.
• Employer-paid pension plan, with the employer adding 3.5% of your gross salary.
• Access to sports groups and a Multisport card.
• A chance to meet the next generation of the company.