TL;DR:
- Bosch leads the automotive industry in machine learning hirings during the Feb-July period, with 750 active job openings.
- Roles advertised include PhD positions for deep learning solutions in autonomous driving, data engineers, senior software engineers, and apprentice data scientists.
- Bosch’s Center for Artificial Intelligence, founded in 2017, aims to deploy advanced ML technologies across its product range by 2025.
- Tesla and Porsche follow with 179 and 90 active ML hirings, respectively.
- Tesla’s patent applications focus on enhancing virtualization, recognition, and self-driving capabilities through vision-based machine learning models.
- Elon Musk’s assertion of nearing full self-driving capability without human supervision underscores Tesla’s commitment to ML innovation.
Main AI News:
In the realm of machine learning (ML) hiring, Bosch emerges as the frontrunner during the period spanning February to July, boasting an impressive count of 750 active job openings. Among the roles that garnered attention were those seeking individuals with a PhD, specializing in harnessing prior knowledge to formulate secure and efficient solutions for deep learning in the context of autonomous driving. Additionally, Bosch advertised positions for a data engineer, a senior software engineer, and an apprentice data scientist.
A stalwart in the fields of engineering and technology, Bosch has consistently maintained a pioneering stance in the realm of artificial intelligence (AI) research and development. Notably, the company established its Center for Artificial Intelligence back in 2017, aimed at the deployment of cutting-edge ML technologies across its diverse product spectrum. As a strategic vision for the year 2025, Bosch aspires for its entire product line to integrate AI technology or have been conceived and produced with the invaluable aid of AI.
In the footsteps of Bosch, both Tesla and Porsche surged forward in their ML recruitment efforts during the February to July timeline. Tesla, securing the second spot, presented a total of 179 active listings, while Porsche followed closely with 90. In the context of Tesla’s recruitment drive, the roles encompassed diverse titles such as data scientist, deep learning vision engineer, ML intern, and AI Inference software engineer.
Throughout this year, Tesla has exhibited a consistent drive to enhance its technological prowess through a series of patent applications. These patents are strategically designed to elevate aspects like virtualization, recognition systems, and the coveted domain of full self-driving capabilities. Noteworthy patents include concepts like the “vision-based machine learning model for autonomous driving with adjustable virtual camera” and the “vision-based machine learning model for aggregation of static objects and systems for autonomous driving.”
Expanding further into Tesla’s patent arsenal, we find additional ML-focused innovations such as a “system and method for obtaining training data” and a sophisticated “data pipeline and deep learning system for autonomous driving.”
Concurrently, Tesla’s intensified emphasis on machine learning coincides seamlessly with Elon Musk’s bold assertion that the company stands on the cusp of achieving fully autonomous driving capabilities devoid of human intervention. The convergence of technological innovation and visionary ambition positions Tesla at the forefront of the evolving landscape of machine learning in the automotive sector.
Conclusion:
Bosch’s impressive leadership in automotive machine learning hirings showcases its strategic investment in AI research and development. This not only positions the company at the forefront of technological advancement but also underlines the industry’s growing reliance on machine learning solutions. Tesla’s parallel efforts signify a paradigm shift towards achieving full self-driving capabilities, propelling the automotive market towards a new era of innovation and autonomy.
