Machine Learning Engineer (m/f/d)

Das ist der Job

A solid background in computer vision, robotics, or motion planning is a big plus.

Darum lohnt es sich

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.

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

Company Events: Regular team events, meet & greet, 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.

Machine Learning Engineer (m/f/d) Full-time • Jena • Software Engineering Profile 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.

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.

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.

If you’re an ambitious AI professional eager to make a real difference, we want to hear from you. 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.

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.

Equal Employment Opportunity 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. We consider all qualified applicants, in accordance with the legal requirements. Please send your CV and accompanying material directly to career@spleenlab.ai #J-18808-Ljbffr