Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Aptiv provides private health care (Signal Iduna) and life insurance, a Well-Being Program with webinars and workshops, hybrid work with min. 47 days/yr remote, employee pension plan (+3.5% on gross salary), and access to sports groups and Multisport card.
Yes, Aptiv offers hybrid work with a minimum of 47 days per year of remote work and flexible working hours.
Candidates need a Master's degree + 3 years of relevant experience or PhD in computer science, electrical engineering or related field, strong C++ software development skills, passion for clean well-tested code, motivated learner mindset, fluent English, and excellent communication and interpersonal skills.
Aptiv offers an inclusive work environment where individuals can grow regardless of gender, ethnicity or beliefs, emphasizes safety as a core value aiming for zero fatalities, injuries, and accidents, and provides resources for family and health support while working in international Agile teams.
Strong candidates will have the required Master's/PhD and experience, C++ expertise, plus preferred knowledge in AI/ML frameworks like TensorFlow or PyTorch, classical computer vision, and camera calibration, along with leadership skills for mentoring engineers.
Develops integrated systems for vehicles
Aptiv develops integrated vehicle systems for the automotive industry, focusing on software-defined vehicles. Their products help tackle challenges related to autonomous driving, vehicle electrification, and advanced safety features. Aptiv collaborates with major car manufacturers and other mobility stakeholders to enhance vehicle performance and safety through their technological solutions. Unlike many competitors, Aptiv emphasizes a partnership model, providing ongoing support and integration of their systems into vehicles. The company's goal is to improve the overall driving experience and safety in vehicles while advancing the future of mobility.