Machine Learning Engineer (m/f/d)

Spleenlab; Jena; Hybrid; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Corporate benefits

Flexible working hours

30 days vacation

Ergonomic workstations

Regular team events

Conference/trade fair training

Free drinks

Travel expense allowances

Zusammenfassung

Spleenlab is seeking a talented Machine Learning Engineer to accelerate autonomous systems across air, land, and water. You will design and deploy ML models for object detection, segmentation, SLAM, and motion planning, working with multimodal sensor data.

You’ll implement algorithms for sensor fusion, perception, and mission planning, translating research into real-world products that operate in dynamic environments. Collaboration with cross-functional teams is essential.

Qualifikationen

• Bachelor's degree in Computer Science or a related technical field.
• 2 years of work or educational experience in machine learning or AI.
• 1 year of relevant work experience including software development.
• Experience with C/C++ and Python.
• Experience with ML libraries/frameworks such as PyTorch or TensorFlow.
• Domain knowledge in machine learning or computer vision.

Aufgaben

• Design and implement ML solutions for autonomous systems, including object detection and segmentation.
• Develop algorithms for sensor fusion, perception, SLAM, and motion planning.
• Work with multimodal sensors (camera, LiDAR, radar).
• Collaborate with cross-functional teams to define requirements and deliver impact.
• Apply ML models to real-world products that fly, drive, or swim autonomously.

Kenntnisse

Python

C/C++

ML frameworks

Computer vision

CI for software

Ausbildung

Bachelor's degree in Computer Science or related field

MS/PhD in CS/AI (preferred)

Tools

PyTorch

TensorFlow

Caffe

Theano

Scikit-Learn

MLlib

Jobbeschreibung

You’re a passionate Machine Learning Engineer ready to bring autonomy to life — whether in the air, on the road, or underwater. You have experience developing cutting‑edge ML solutions like object detection, semantic segmentation, SLAM, or reinforcement learning, and you're confident working with multimodal sensor data (camera, lidar, radar). You're fluent in Python or C++, know your way around ML frameworks like PyTorch or TensorFlow, and enjoy collaborating across disciplines to turn algorithms into real-world applications. A solid background in computer vision, robotics, or motion planning is a big plus.

Your Role

Design and implement amazing machine learning solutions for our autonomous systems, including tasks like object detection, semantic segmentation, behavioral cloning or reinforcement learning

Develop algorithms for different modules like sensor fusion, perception, SLAM, environmental analysis, motion prediction or mission and motion planning

Work with multimodal Sensors: Cameras, Lidar, Radar, etc.

Interact with our cross functional engineering team and customers to identify opportunities and requirements

Directly apply machine learning models into real world products that will fly, drive or swim autonomously

At a minimum we’d like you to have

Bachelor degree in Computer Science or related technical field or equivalent practical experience

2 years of work or educational experience in machine learning or AI

1 year of relevant work experience, including software development

Experience with one or more programming languages including but not limited to: C/C++, Python

Experience using machine learning libraries or platforms, e.g. Pytorch, Tensorflow, Caffe, Theanos, Scikit-Learn or ML Lib for production

Machine learning and/or computer vision domain knowledge

Experience with SW Continuous Integration

It’s preferred if you have

MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning or a related technical field

Experience with one or more of the following areas: computer vision, applied robotics, classification, pattern recognition, reinforcement learning

Experience with one or more of the basic robotic tasks like sensor fusion, perception, SLAM, environmental models, motion prediction, behavioral cloning, mission- and motion planning

About

Are you ready to redefine the future of transportation across all domains? At Spleenlab, we're building the safety backbone for autonomous movement, ensuring people and things can navigate the world with confidence. Our expertise spans self-driving cars, trucks, maritime vessels, UAVs, air taxis, helicopters, and traditional aircraft.

We specialize in creating cutting‑edge AI perception software powered by machine learning, specifically designed for safety-critical autonomous systems. This isn't just about code; it's about enabling a safer, more efficient tomorrow across land, air, and sea.

As part of our dynamic and interdisciplinary team, you'll work alongside recognized AI leaders, contribute to groundbreaking projects, and directly influence the next generation of autonomous mobility. If you're an ambitious AI professional eager to make a real difference, we want to hear from you.

Corporate Benefits: Team members enjoy exclusive brand deals and appealing non-cash benefits.

Work-Life-Balance: Flexible working hours and mobile working options.

Vacation Days: 30 days of vacation per year.

Ergonomic Workstations: Equipped with height-adjustable desks and ergonomic office chairs.

Company Events: Regular team events, meet & greets, and an annual Christmas party as integral parts of our company culture.

Training Opportunities: Includes participation in conferences, trade fairs, and leading international top conferences.

Free Drinks: Enjoy complimentary coffee, tea, and water to keep you refreshed throughout the day.

Travel Expenses: Allowances for additional meal expenses during business trips.

Your Next Opportunity Starts Here

At Spleenlab, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity. We consider all qualified applicants, in accordance with the legal requirements. If you have a disability or special need that requires accommodation, please let us know.