Working student Deep Learning & Data Science

Company Description About Bosch Engineering Center Cluj Since its establishment in 2013, Bosch Engineering Center Cluj plays an essential role in the current transformation of the mobility sector. Through its extensive expertise in software, hardware & mechanical engineering, reliability engineering, as well as sales planning, the center contributes to the development of innovative products and services based on artificial intelligence (AI) applied in the fields of automated driving, electric and connected mobility. Thanks to the diverse professional and personal development opportunities, flexible working conditions, modern offices and laboratories in Cluj-Napoca, Jucu, Bucharest and Sibiu, we are one of the most desired employers among engineers and IT professionals in Romania. Our promise to our colleagues is rock-solid: we grow together, we enjoy our work, and inspire each other. Join us and see the difference. Work LikeABosch Job Description We are looking for a passionate student to help us develop state-of-the-art AI solutions for ADAS use cases, targeting mobile platforms such as passenger cars, trucks or motorcycles. In this role you will: - Design and train neural networks (e.g. vision / radar / lidar / language / multi-modal) for various ADAS use-cases such as object detection, lane detection, scene classifiers, path planning, etc. - Design / update / maintain various “classical” 2D/3D (i.e. rule-based) computer vision algorithms - Test and evaluate semantic KPI performance as well as HW efficiency of trained networks / CV algorithms - Implement and test various visualization (2D/3D) methods to analyze performance of CV/AI algorithms - Work with Cloud pipelines for model training and real-time target environments for model deployment - Contribute to various parts of the data lifecycle, ranging from data ingestion, to selection, curation and preparation for training/evaluation Technology stack: - Python (and most used ML libraries) - Pytorch - Azure - Databricks - Version source control (e.g. Git, Bitbucket) - OpenCV - C++ - CUDA - Matlab - Docker - Visual Studio - Linux - Unity & Blender - C# Qualifications - AI/Machine Learning/Deep Learning - Algorithms and Data structures - Embedded programming in real-time environments - Data Visualization - Data preprocessing - Image / Signal Processing - Object Oriented Programming - Probability theory & Statistics - 2D & 3D Geometry - Logical and Analytical thinking The languages you should know: - English – a good level is mandatory Additional Information LikeABosch Benefits: Your work-life balance is valuable to us, so we offer you: - 25 Days of annual leave, because work-life balance is essential to us; - Flexible working hours. Your health and well-being is important to us, so we have you covered: - Medical subscription; - Accident insurance; - Sport activities and well-being initiatives. We believe in a Life-Long Learning approach, so you can take advantage of: - Technical and soft skills trainings; - Access to e-learning platforms; - Local and Global career development programs; - Opportunity to attend conferences; - Bookster subscription. You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs. On top of these, we are offering: - A monthly budget which can be used for several different services on an online benefit platform; - Annual bonus; - Lunch discounts. Ready to work LikeABosch? We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.

Summary

Develop state-of-the-art AI solutions for ADAS use cases on mobile platforms. Design and train neural networks, maintain computer vision algorithms, and work with cloud pipelines for model training and deployment. Requires a good level of English and knowledge of AI/ML, data structures, embedded programming, and image processing.

Responsibilities

Design and train neural networks for ADAS use-cases; Design/update/maintain classical 2D/3D computer vision algorithms; Test and evaluate semantic KPI performance and HW efficiency; Implement and test visualization methods; Work with Cloud pipelines for model training and deployment; Contribute to data lifecycle (ingestion, selection, curation, preparation)

Qualifications

AI/Machine Learning/Deep Learning; Algorithms and Data structures; Embedded programming in real-time environments; Data Visualization; Data preprocessing; Image / Signal Processing; Object Oriented Programming; Probability theory & Statistics; 2D & 3D Geometry; Logical and Analytical thinking; English – a good level is mandatory

Benefits

25 Days of annual leave; Flexible working hours; Medical subscription; Accident insurance; Sport activities and well-being initiatives; Technical and soft skills trainings; Access to e-learning platforms; Local and Global career development programs; Opportunity to attend conferences; Bookster subscription; Monthly budget for online benefit platform; Annual bonus; Lunch discounts