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Working student Deep Learning & Data Science

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Working student Deep Learning & Data Science

What you’ll work on

Full posting
  • Design and train neural networks for ADAS use cases such as object and lane detection

  • Design and maintain rule-based 2D/3D computer vision algorithms

  • Test and evaluate performance and hardware efficiency of networks and CV algorithms

  • Build 2D/3D visualizations to analyze algorithm performance

  • Help with data ingestion, curation and preparation for training and evaluation

From the employer’s posting
Design and train neural networks (e.g. vision / radar / lidar / language / multi-modal) for various ADAS use-cases such as object detection, lane detection
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
Contribute to various parts of the data lifecycle, ranging from data ingestion, to selection, curation and preparation for training/evaluation

What you’ll bring

All qualifications

Core experience

  • Good level of English (mandatory)
  • Python and common ML libraries, PyTorch
  • Deep learning and machine learning knowledge
  • Image and signal processing, 2D and 3D geometry
  • Algorithms and data structures, object-oriented programming
Qualification wording
English – a good level is mandatory
Technology stack: Python (and most used ML libraries)
AI/Machine Learning/Deep Learning
Image / Signal Processing
Algorithms and Data structures

About Bosch Group

Since its establishment in 2013, Bosch Engineering Center Cluj plays an essential role in the current transformation of the mobility sector.

In the employer’s words · Read in context

Apply at Bosch Group

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20263 days ago
Recorded sightings
1
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 72.

At Bosch Group, jobs usually come down by about day 18.

From 4,658 similar postings that came down, and 307 of Bosch Group’s. Coming down is not always a hire.

Bosch Group is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 17% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • MATLAB
  • C++
  • C#
  • Azure
  • Databricks
  • Docker
  • PyTorch
Where the posting names them
Technology stack: - Python (and most used ML libraries) - Pytorch
- CUDA - Matlab - Docker
- OpenCV - C++ - CUDA
- Unity & Blender - C# Qualifications
- Pytorch - Azure - Databricks
- Azure - Databricks - Version source control (e.g. Git, Bitbucket)
- Matlab - Docker - Visual Studio
- Python (and most used ML libraries) - Pytorch - Azure

Your next step

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Applying through SmartRecruiters

  • Uploading your resume fills in the application form for you, so check what it filled before you send.

Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 619, the most 1,091, and the latest week had 863.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

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

Source details

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Location & working pattern

Cluj-Napoca, CJ, Romania

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