R&D Engineer

Berlin, Germany
Roles:
Machine Learning
Must-have skills:
PythonTensorFlow
Nice-to-have skills:
C++
Considering candidates from:
Germany
Work arrangement: Hybrid or onsite
Industry: Software Development
Language: English
Level: Middle or senior
Required experience: 2+ years
Relocation: Not paid
Visa support: Not provided
Size: 51 - 200 employees
Logo of Asaphus Vision

R&D Engineer

Berlin, Germany
At Asaphus Vision, our mission is to lead the way in enabling safer and more personalized driving experiences for all. We accomplish this by driving innovation in computer vision and deep-learning algorithms, and delivering cutting-edge software to the automotive industry. Our driver-monitoring and interior-monitoring technology sets the industry standard for safety, convenience, and personalization, and is trusted by leading car manufacturers around the world.

Asaphus Vision is a company of the Valeo Group.

We strive to foster a positive, international, diverse, and inclusive work environment that empowers our employees to grow and excel. We value diversity, collaboration, and transparency, and believe that our employees are our greatest asset. Our goal is to attract and retain the most talented individuals in the industry, and to provide them with the resources, training, and opportunities they need to succeed. By working together, we will continue to push the boundaries of what is possible in automotive software, and set new standards for excellence in our industry.
Tasks

  • Develop machine-learning models for use in our software library;
  • Develop and maintain pre-processing, training, and evaluation pipelines;
  • Analyze, validate, test, and understand the inner workings and limitations of your models;
  • Support the release of the library to production;
  • Develop and automate our machine learning infrastructure;
  • Guide, support, and develop tools for the data acquisition for your models;
  • Analyze, clean, and preprocess data for training and validation;
  • Employ software development best practices and help to maintain them through reviews and mentoring.

Requirements

  • Master's degree in Computer Science with a strong focus on Machine Learning;
  • Deep understanding of machine-learning methods and in particular deep learning for machine vision problems;
  • Excellent problem-solving and analytical skills;
  • Experience with relevant scientific software packages (for example Python, TensorFlow, Caffe;
  • Strong software engineering skills for prototypic development and implementation of experimental setups;
  • Experience with machine learning in production and MLOps is a plus;
  • Programming skills in Python and basic C++;
  • Excellent communication skills in English;
  • German residency or an existing working permit for Germany is useful.

Benefits

  • Hybrid work;
  • Special days off;
  • Bonuses;
  • Company bike;
  • Further training opportunities;
  • Open corporate culture and a leadership team that listens and cares about your professional growth;
  • A competitive salary;
  • Working in a motivated and international team;
  • Team events;
  • Flexible working hours;
  • Modern office at S-Bhf. Tiergarten (Charlottenburg).