Machine Learning Algorithm Engineer ADAS & AD

4 Months ago • All levels
Research Development

Job Description

The Machine Learning Algorithm Engineer will develop and evaluate machine learning models for ADAS & AD applications. This involves utilizing techniques like supervised learning, unsupervised learning, and reinforcement learning. The role includes researching state-of-the-art methods, analyzing test results, and making data-driven recommendations. Responsibilities also cover creating cloud-based services, conducting model evaluation, and implementing AutoML pipelines. The engineer will contribute to model improvements, optimization, and ensuring accuracy and reliability on big-data sources. Furthermore, the engineer will work on the development of AI/ML workflows and pipelines to streamline model development, training, and deployment processes.
Must Have:
  • M.Sc. degree in computer science or related field
  • Expertise in modern programming languages like Python or C++
  • Solid experience in artificial intelligence and machine learning
  • Experience in data science, data mining, and statistics
  • Ability to combine research and development skills
  • Familiarity with cloud environments like Azure or AWS
  • Experience using data modeling tools
  • Good communication skills
Perks:
  • Private health care and Life insurance
  • Well-Being Program
  • Access to sports groups and Multisport card
  • Hybrid work and flexible working hours
  • Employee Pension Plan

Add these skills to join the top 1% applicants for this job

communication
performance-analysis
data-analytics
cpp
game-texts
networking
aws
rust
azure
data-science
reinforcement-learning
automl
supervised-learning
python
machine-learning

Your Role:

  • Develop and evaluate machine learning models for various ADAS & AD applications, leveraging techniques such as supervised learning, unsupervised learning, and reinforcement learning.
  • Conduct research of state-of-the-art materials and implement presented approaches in the form of proof-of-concepts or introduce those to product portfolio.
  • Analyze test results and make data-driven recommendations for model improvements and optimizations based on observed performance metrics.
  • Creation and using cloud-based services and resources for data storage, processing, training and analysis to support AI/ML workflows and pipelines.
  • Conduct thorough model evaluation and validation, including performance metrics analysis, to ensure accuracy, reliability, and robustness on big-data sources.
  • Implement and optimize automated machine learning (AutoML) pipelines and frameworks to streamline model development, training, and deployment processes.

 

Your background:

  • M.Sc. degree in computer science or related field
  • Expertise in a modern programming language, such as Python, C++ or Rust (and their related data processing, Machine Learning, and visualization libraries)
  • Solid experience in artificial intelligence and machine learning, including latest ML model architectures and training techniques.
  • Practical experience in data science, data mining, statistics, and analysis of large data sets
  • Ability to combine research and development skills, to transfer state-of-the-art techniques to products
  • Being familiar with cloud environments, such as Azure or AWS and services provided by them to support AI/ML workflows and pipelines.
  • Experience using data modeling tools to visualize data
  • Good communication skills

Why join us?

  • You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

  • You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

  • You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance 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

  • Access to sports groups and Multisport card

  • 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)

Apply today, and together let’s change tomorrow!

#LI-MC1

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.

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