Machine Learning Engineer

Overview

Join a leading European defense technology firm focusing on AI-driven autonomous systems spanning air, land, and sea platforms. Following a $1.2 billion funding boost, the company is augmenting its AI and autonomy workforce to push machine learning applications into real unmanned systems functioning in critical, demanding operational settings.

Key Opportunities

• Develop AI software by productionizing computer vision models, integrating with sensors, and deploying AI on embedded hardware.
• Train and optimize deep learning models aimed at perception and autonomous operations.
• Construct machine learning platforms including cloud infrastructure, training pipelines, and GPU environments.
• Engineer data systems handling geospatial, imagery, LiDAR, telemetry, and sensor-fusion data.
• Optimize edge AI inference for autonomous platforms with constrained computational resources.

Candidate Profile

• Proven professional experience in AI, machine learning, computer vision, robotics, data engineering, or platform engineering.
• Proficiency in programming languages such as Python, C++, or Rust.
• Hands-on experience with deep learning, embedded systems, cloud infrastructure, or managing large-scale data environments.
• Genuine interest in autonomous systems and real hardware problem-solving.
• Capability to transition projects from prototype phases through to deployment in field conditions.
• Prior defense or aerospace experience is not mandatory.
• Strong personal projects involving drones, autonomous challenges, robotics, computer vision experiments, or edge hardware deployment are highly desirable.

Benefits and Work Environment

• Engage in developing AI solutions that operate beyond theoretical models, functioning on tangible physical systems.
• Collaborate on diverse platforms including aerial drones, ground robotics, and emerging maritime systems.
• Work alongside specialists in machine learning, embedded software, hardware design, and flight testing.
• Become part of a profitable, fast-growing European technology leader.
• Opportunity for your work to be tested and deployed in real operational environments.

Locations & Working Conditions

Positions are available in Munich/Gilching, Berlin, Göppingen, and Rostock. The role requires onsite presence approximately three to four days weekly.