AI/ML Engineer

Posted One Month Ago
Be an Early Applicant
Kraków, Małopolskie, POL
In-Office
Entry level
Automotive
The Role
Develop AI and machine learning solutions for ADAS and automated driving systems. Apply computer vision, deep learning, multimodal learning, foundation models, and temporal modeling to automotive datasets and production applications. Implement, train, and evaluate models, translate research into practical systems, and collaborate with researchers and engineers. Work may involve perception, prediction, planning, autonomous systems, model optimization, and deployment for customer vehicles.
Summary Generated by Built In

Are you passionate about Artificial Intelligence, machine learning, and computer vision, and interested in applying these technologies to real-world challenges? Join our team and contribute to the development of innovative AI solutions that are helping shape the future of mobility.


Your role

  • Work on cutting-edge AI technologies that power future ADAS and automated driving systems
  • Apply state-of-the-art machine learning and computer vision techniques to real-world automotive challenges
  • Gain hands-on experience with large-scale datasets, modern AI frameworks, and production-oriented development workflows
  • Collaborate with experienced researchers and engineers in a highly innovative international environment
  • Explore emerging areas such as foundation models, multi-modal learning, behavior prediction, and automated parking
  • Develop both research and engineering skills while contributing to products deployed in customer vehicles

Your background

  • Master's degree (or close to completion) in Computer Science, Machine Learning, Computer Vision, Robotics, Electrical Engineering, Mathematics, Physics, or a related field
  • Strong analytical and problem-solving skills with a solid foundation in mathematics, statistics, and machine learning
  • Good understanding of machine learning fundamentals and deep learning concepts
  • Academic, internship, research, or project experience in one or more of the following areas:
    • Computer vision (detection, segmentation, tracking, 3D perception)
    • Deep learning techniques (CNNs, Vision Transformers, foundation models)
    • Sequential or temporal modeling and processing
    • Representation learning, self-supervised learning, or generative AI
    • Multi-modal learning
  • Hands-on experience with Python and at least one modern ML framework (preferably PyTorch)
  • Experience implementing, training, or evaluating machine learning models through coursework, research projects, internships, or personal projects
  • Ability to read and understand scientific literature and translate research ideas into practical implementations
  • Good communication skills in English

Exceptional recent graduates with strong academic performance, research experience, internships, or outstanding personal projects are encouraged to apply.


Nice to have

  • Experience through internships, thesis work, research projects, open-source contributions,  competitions, or personal projects related to AI/ML
  • Knowledge of perception, prediction, planning, robotics, or autonomous systems
  • Experience with multi-sensor processing (camera, radar, lidar, IMU)
  • Familiarity with large language models, vision-language models, or foundation models
  • Experience with model optimization, deployment, or efficient inference
  • Knowledge of C++ and software engineering best practices
  • Exposure to cloud-based or large-scale training environments
  • Familiarity with automotive, ADAS, autonomous driving, or robotics applications
  • Contributions to scientific publications, patents, open-source projects, or technical competitions
  • Experience working with Git, CI/CD, and collaborative development workflows

Why join us?

  • You grow at Aptiv. Aptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.  
  • You make an impact at Aptiv. One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day. 
  • You have support at Aptiv. We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package 

Your Benefits at Aptiv:

  • Private health care (Signal Iduna) and Life insurance for you and your beloved ones
  • Well-Being Program that includes regular webinars, workshops, and networking events
  • Hybrid work (min. 47 days/yr of remote work, flexible working hours)
  • Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)
  • Access to sports groups and Multisport card

Meet the Next Generation Aptiv 

At Aptiv, we deliver innovative solutions that people trust when it matters most. 

Progress is never static. It is about reaching further, exploring new possibilities, and enabling mobility. Aptiv empowers customers to create solutions people rely on—advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission-critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications. We also drive precision and efficiency in Industrials & Robotics and support life-critical innovation in Medical technologies.  

Guided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.  

  

Join Us to Deliver Innovative Solutions That People Trust! 

#LI-PP1

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Skills Required

  • Master’s degree or near completion in computer science, machine learning, computer vision, robotics, electrical engineering, mathematics, physics, or a related field
  • Strong analytical and problem-solving skills with a foundation in mathematics, statistics, and machine learning
  • Understanding of machine learning fundamentals and deep learning concepts
  • Academic, internship, research, or project experience in computer vision, deep learning, sequential modeling, representation learning, generative AI, or multimodal learning
  • Hands-on experience with Python and at least one modern machine learning framework, preferably PyTorch
  • Experience implementing, training, or evaluating machine learning models
  • Ability to read scientific literature and translate research ideas into practical implementations
  • Good communication skills in English
  • Knowledge of perception, prediction, planning, robotics, or autonomous systems
  • Experience with camera, radar, lidar, or IMU sensor processing
  • Familiarity with large language models, vision-language models, or foundation models
  • Experience with model optimization, deployment, or efficient inference
  • Knowledge of C++ and software engineering best practices
  • Exposure to cloud-based or large-scale training environments
  • Familiarity with automotive, ADAS, autonomous driving, or robotics applications
  • Contributions to publications, patents, open-source projects, or technical competitions
  • Experience with Git, CI/CD, and collaborative development workflows

APTIV Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about APTIV and has not been reviewed or approved by APTIV.

  • Retirement Support — A 401(k) plan with company contribution and competitive matching is described as a notable component of the total rewards package. Equity participation and performance bonuses are also positioned as part of long-term and variable compensation.
  • Healthcare Strength — Core coverage is portrayed as broad, spanning medical, dental, vision, life, and disability insurance. Mental health resources and an Employee Assistance Program are also included as part of wellness support.
  • Leave & Time Off Breadth — Paid holidays, paid sick days, and flexible time-off policies are included in the benefits mix. Flexible scheduling and remote-work programs further support time management and personal needs.

APTIV Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Schaffhausen
17,787 Employees

What We Do

Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. #ItsOurMove

Similar Jobs

Telnyx Logo Telnyx

Senior Machine Learning Engineer

Big Data • Internet of Things • Mobile • Other
In-Office or Remote
3 Locations
280 Employees

Provectus Logo Provectus

Machine Learning Engineer

Artificial Intelligence • Information Technology • Consulting
In-Office or Remote
5 Locations
572 Employees
In-Office
Kraków, Małopolskie, POL
17787 Employees
In-Office
Kraków, Małopolskie, POL
17787 Employees

Similar Companies Hiring

HERE Technologies Thumbnail
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Amsterdam, NL
6000 Employees
Ford Energy Thumbnail
Automotive • Software • Energy • Utilities • Manufacturing • Renewable Energy
Glendale, Kentucky
55 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account