Machine Learning Engineer

SafeAD; Karlsruhe; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Stock options

Flexible working hours

Competitive salary

Job summary

SafeAD is advancing autonomous driving by building state-of-the-art ML models and mapless AI systems. You will work across large ML models and data, enhancing features for scene understanding and optimizing deployment on production hardware.

The role emphasizes rapid iteration, a flat hierarchy, and a strong focus on tech, with flexible hours and stock options to reward contribution.

Qualifications

• MSc/PhD in Computer Science, Robotics or equivalent experience.
• Experience solving problems using Machine Learning with Tensorflow or PyTorch.
• Strong experience programming in C++ and Python.

Responsibilities

• Work on large ML models and big data with our ever growing in-house compute.
• Improve and develop new features for our multi-task scene understanding AI model
• Optimize and deploy the model to run on production hardware
• Streamline our training pipeline
• Test your software in our self-driving vehicle

Skills

C++

Python

Machine Learning

Education

MSc/PhD in Computer Science or Robotics

Tools

TensorFlow

PyTorch

Job description

Machine Learning Engineer (m/f/d)

Our mission at SafeAD is to deliver the most intelligent and safe autonomous driving technology. We believe the key to achieving this is all AI and mapless. Our technology is used by some of the world’s largest automakers and Tier 1 suppliers.

In this role, you’ll:

• Work on large ML models and big data with our ever growing in-house compute.
• Improve and develop new features for our multi-task scene understanding AI model
• Optimize and deploy the model to run on production hardware
• Streamline our training pipeline
• Test your software in our self-driving vehicle

We require you to have:

• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience solving problems using Machine Learning with Tensorflow or PyTorch
• Strong experience programming in C++ and Python
• A strong team player and learning mindset

You can apply for one of the four topics listed below.

• Map Topology & Geometry
• Sensor Fusion & Core AI
• Perception Tasks
• Planning & E2E Driving

What we’ll offer you:

• The chance to work on state-of-the‑art technology for autonomous driving in a motivated team
• A working place characterized by a flat hierarchy, quick processes and full focus on tech
• Flexible working hours
• A competitive salary
• Stock options