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- Aufgaben: Design and implement cutting-edge machine learning solutions for autonomous systems.
- Arbeitgeber: Join Spleenlab, a leader in safe machine learning for autonomous transportation.
- Mitarbeitervorteile: Enjoy 30 days vacation, flexible hours, free coffee, and team events.
- Warum dieser Job: Shape the future of mobility with a young, agile team and renowned AI experts.
- Gewünschte Qualifikationen: Bachelor's in Computer Science or related field; experience in C/C++, Python, and Linux.
- Andere Informationen: We celebrate diversity and are committed to equal employment opportunities.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Februar 1, 2024
9:00 am
In this role, you’ll:
- 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.
- Experience with one or more programming languages including but not limited to: C/C++, Python.
- Experience with SW Continuous Integration.
- Experience with SW Development under Linux.
Spleenlab is a Safe Machine Learning Company with the vision to make it safe and easy for people and things to move around fully autonomously. Our core business areas are self-flying cars, drones/UAVs, air taxis, traditional helicopters and aircrafts. We build and deliver machine learning based AI software for the applied robotics market to enable autonomous transportation in safety critical systems. Join Spleenlab and actively shape the future of mobility as a member of our young and agile team of interdisciplinary professionals, guided by renowned AI experts.
Benefits:
- 30 days vacation
- Additional health insurance
- Flexible working hours
- Free coffee
- Modern office
- Team events
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.
Please send your CV and accompanying material directly to
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Computer Vision Engineer (m/f/d – Full time) Arbeitgeber: Spleenlab GmbH
Kontaktperson:
Spleenlab GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Computer Vision Engineer (m/f/d – Full time)
✨Tip Number 1
Familiarize yourself with the latest advancements in computer vision and machine learning. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Engage with the community by participating in relevant forums, attending meetups, or contributing to open-source projects. This not only enhances your skills but also expands your network, which can be beneficial when applying for positions.
✨Tip Number 3
Prepare to showcase your practical experience with programming languages like C/C++ and Python. Be ready to discuss specific projects where you applied these skills, especially in relation to autonomous systems or machine learning.
✨Tip Number 4
Understand the company's mission and values, particularly their focus on safe autonomous mobility. Tailor your discussions to align with their vision, showing how your background and aspirations fit within their goals.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Computer Vision Engineer (m/f/d – Full time)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Computer Vision Engineer position. Understand the key responsibilities and required skills, such as experience with machine learning solutions and programming languages like C/C++ and Python.
Tailor Your CV: Customize your CV to highlight relevant experience in computer vision, machine learning, and software development. Include specific projects or achievements that demonstrate your expertise in areas like object detection or sensor fusion.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for Spleenlab. Mention your passion for autonomous systems and how your background aligns with their mission of safe machine learning.
Highlight Team Collaboration: Since the role involves interacting with cross-functional teams, emphasize any previous experiences where you successfully collaborated with others. This could include teamwork in projects or contributions to interdisciplinary initiatives.
Wie du dich auf ein Vorstellungsgespräch bei Spleenlab GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like C/C++ and Python. Bring examples of projects where you've implemented machine learning solutions, especially in areas like object detection or SLAM.
✨Understand the Company’s Vision
Familiarize yourself with Spleenlab's mission to create safe autonomous systems. Be ready to discuss how your skills can contribute to their goal of revolutionizing mobility through AI and robotics.
✨Prepare for Practical Scenarios
Expect to solve real-world problems during the interview. Practice explaining your thought process when developing algorithms for sensor fusion or motion prediction, as this will demonstrate your problem-solving abilities.
✨Emphasize Team Collaboration
Since the role involves interacting with cross-functional teams, highlight your experience working collaboratively. Share examples of how you’ve successfully communicated technical concepts to non-technical stakeholders.
