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Daily Newsletter

07 August 2023

Daily Newsletter

Signal: Bosch leads in automotive machine learning hirings

Bosch and Tesla recruited for 179 and 90 jobs within machine learning over February-July period.

Bosch led the way in machine learning (ML) hirings over the February-July period with 750 active jobs. Advertised roles included a PhD (focused on leveraging prior knowledge for safe and efficient deep learning solutions to autonomous driving), data engineer, senior software engineer and apprentice data scientist.

The engineering and technology titan has long been at the vanguard of artificial intelligence (AI) research and development, founding its Center for Artificial Intelligence in 2017 with the aim of deploying cutting-edge ML technologies across its product portfolio. Bosch has said that, by 2025, the aim is for all of its products to either contain AI or have been developed or manufactured with its help.

Tesla and Porsche followed in ML hirings from February to July with 179 and 90 active listings, respectively. The former recruited for roles including data scientist, deep learning vision engineer, ML intern and AI Inference software engineer.

Over the course of this year, Tesla has been applying for a steady stream of patents that improve virtualisation, recognition and full self-driving. The patents include “vision-based machine learning model for autonomous driving with adjustable virtual camera” and “vision-based machine learning model for aggregation of static objects and systems for autonomous driving”.

Tesla’s other ML-related patents also include a “system and method for obtaining training data” and a “data pipeline and deep learning system for autonomous driving”.

Tesla’s renewed focus on ML coincides with Musk’s recent claim that the company is “very close to achieving full self-driving without human supervision”.

We are looking for exceptional minds to join our team!🚀 You are as passionate about #AI as we are? Apply now as Research Engineer Machine Learning & Condition Monitoring (f/m/div.) & develop innovative manufacturing processes for metalworking using #ML➡ https://t.co/3Pyk3HxTvZ pic.twitter.com/4dJ1vlNzfc
— Bosch Center for Artificial Intelligence (@Bosch_AI) August 4, 2023

Our signals coverage is powered by GlobalData’s Disruptor data, which tracks all major deals, patents, company filings, hiring patterns and social media buzz across our sectors. These signals help us to uncover key innovation areas in the sector and the themes that drive them. They tell us about the topics on the minds of business leaders and investors and indicate where leading companies are focusing their investment, deal-making and R&D efforts.

AI is a key part of the digital revolution shaping the automotive sector

GlobalData estimates the total AI market will be worth $909 billion in 2030, having grown at a CAGR of 35% between 2022 and 2030. The automotive sector is undergoing a digital transformation fuelled by changing global supply-chain dynamics, tighter market competition, and rising inflation. AI is a key part of this digital revolution. Focus is directed toward driver assistance features for safety and hazard detection and greater automation of many vehicle processes and functions. Simultaneous localization and mapping (SLAM), facial recognition, and motion tracking will be vital for developing incockpit safety features such as early driver fatigue detection. For the most part, the automotive sector will not play a significant role in creating and developing generative AI hardware or platforms. Instead, it will be a key driver for innovations in machine learning platforms and associated IoT hardware for autonomous driving and ADAS. This will also help to drive advances and greater scale-up of adoption of these AI technologies in adjacent sectors such as travel and tourism and construction.