Aptiv is a leader in in-cabin sensing technology and a well-established supplier of sensing and computer hardware as well as software solutions. In this fast-growing and innovative technology area you would be working in an international team of computer vision and machine learning experts and software developers to shape the future of mobility with us. 

In our team we design, develop, and validate systems to enhance the safety and comfort in the vehicle cabin. This includes the development of innovative software features and machine learning algorithms in driver state sensing, seat occupancy monitoring, child presence detection, or hand gesture recognition using 2D and 3D cameras as well as other interior sensing technologies. Driver state sensing plays an important role not only to prevent road accidents caused by drowsiness or distraction of the driver, but also in the context of higher levels of automated driving, e.g. hand over scenarios.  

Your Role

In your daily job you will:

• Help collect, curate, ingest and manage high quality datasets that can be used to train and validate machine learning models

• Engage with different stakeholders to collect dataset requirements (scenarios, poses, ground truth, dataset distribution, etc) and create recording catalogs that can be shared with data collection teams

• Coordinate data collection campaigns with internal and external data collection teams

• Build dashboards to monitor datasets and annotations and their distribution according to various diversity metrics

• Use available state-of the-art machine learning methods to generate automatic ground truth and automatic metadata tags

• Expand our web-based data management tools to enable convenient inspection of video data and annotations to identify corner cases and incorrect predictions

• Write high quality, well tested and efficient software in Python

• Work in an Agile SW development team (SCRUM)

Your Background

Key ingredients for succeeding in the role are your:

• Master's degree in computer science, electrical engineering or related field

• Strong software development skills in Python and C++. You have a passion for clean, well-tested, and documented code.

• Practical experience with CI/CD pipelines, MLflow, Dashboard (Grafana/Kibana)

• Experience in managing large scale datasets

• Fluent in English. Excellent written and verbal communication skills & good interpersonal skills

Nice to have:

• Theoretical understanding of artificial intelligence, neural network architectures, model building and evaluation

• Experience with ML workflow tools and related processes (e.g. MLflow, Kubeflow)

• Practical experience with Linux, version control systems (e.g. Git, DVC), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket)

Why join us?

• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

• Private health care (Signal Iduna) and Life insurance for you and your beloved ones

• Well-Being Program that includes regular webinars, workshops, and networking events

• Hybrid and flexible working hours

• Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)

• Access to sports groups and Multisport card

Apply today, and together let’s change tomorrow! 

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.