Auf einen Blick
- Aufgaben: Develop and optimize machine learning models for computer vision tasks on embedded devices.
- Unternehmen: Join Xovis, a dynamic team innovating AI-driven technology for intelligent people flow solutions.
- Vorteile: Enjoy flexible hours, home office options, and fun team events like ski weekends!
- Weitere Informationen: Work in Berlin or Bern and help shape the future of technology with a start-up spirit.
- Warum dieser Job: Be part of a collaborative environment that values innovation and personal growth.
- Qualifikationen: Master or PhD in a related field with strong skills in computer vision and ML engineering.
Das prognostizierte Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Berlin or Bern
Join our Research & Development Team in Berlin or Bern to push the boundaries of AI-driven technology and shape the future of intelligent people flow solutions!
Our in-house hardware and software solutions, developed and manufactured in Germany and Switzerland, enable precise people counting, optimize people flow, and ensure data protection. We are committed to the success of our customers and create a sense of safety and comfort for people on the move. Our highly precise 3D stereo vision technology in combination with AI is the foundation for our success. While Xovis consists of 200 crew members worldwide, we have kept our start-up spirit.
As an experienced and passionate machine learning engineer, you will play a key role in the development of our vision-based algorithms as they run on our embedded devices. You will be part of our interdisciplinary research and development team. It is expected that you can work independently and drive your projects on your own as well as collaborate closely with your team colleagues.
Your role:
- Building, training, and testing state of the art machine learning models for computer vision tasks
- Optimizing models for embedded devices
- Keeping up with the latest developments in the field and evaluating the relevance for our applications
- Collaborating with your team mates to build a great product that generates value for our customers
Your profile:
- You have a strong background in computer vision, machine learning / deep learning, and programming, with a Master or PhD degree in a related subject (computer science, robotics, physics, mathematics, or similar)
- You have proven competence in ML engineering and problem solving, preferably in computer vision
- You have a hands-on mentality and solving challenging problems is your passion
- You are a self-motivated person and eager to help us expand our technology leadership
- Experience in programming with C++ is a plus
- Fluency in English is mandatory, German is optional but welcome
What we offer you:
As benefits vary between our locations, we will be happy to discuss them with you personally during the interview.
In our work culture, these are a given:
- Flexible working hours & home office options
- Regular team events like ski weekends, after-work get-togethers, and breakfasts
- A collaborative, innovative environment with flat hierarchies
Our Research & Development teams in Bern and Berlin work closely together, which is why this position can be based at either location. You will be part of our dynamic teams driving the development of both Xovis hardware and software, shaping the future of intelligent people flow solutions.
Grow with us in an innovative environment with flat hierarchies – we can't wait to meet you!
Computer Vision & Machine Learning Engineer 80-100% Arbeitgeber: Xovis AG
At Xovis, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in our Research & Development teams located in Berlin and Bern. With flexible working hours, home office options, and regular team events, we create an engaging environment where employees can thrive and grow. Join us to be part of a dynamic team dedicated to pushing the boundaries of AI-driven technology while enjoying the benefits of a start-up spirit within a well-established company.
StudySmarter Expertenrat🤫
Wir sind der Meinung, dass Sie so Computer Vision & Machine Learning Engineer 80-100% erhalten könnten
✨Tip Number 1
Familiarize yourself with the latest advancements in computer vision and machine learning. This will not only help you during the interview but also show your genuine interest in the field and how you can contribute to our innovative projects.
✨Tip Number 2
Engage with our current technologies and products. Understanding how our AI-driven solutions work will give you a significant edge, allowing you to discuss specific applications and improvements during your conversations with us.
✨Tip Number 3
Network with professionals in the field of computer vision and machine learning. Attend relevant meetups or conferences where you might meet our team members or others in the industry, which could provide valuable insights and connections.
✨Tip Number 4
Prepare to discuss your hands-on experience with machine learning models and embedded devices. Be ready to share specific examples of challenges you've faced and how you overcame them, as this aligns with our hands-on mentality and problem-solving focus.
Wir glauben, dass du diese Fähigkeiten brauchst, um Computer Vision & Machine Learning Engineer 80-100% mit Bravour zu bestehen
Einige Tipps für deine Bewerbung 🫡
Understand the Role:Make sure to thoroughly read the job description for the Computer Vision & Machine Learning Engineer position. Understand the key responsibilities and required skills, especially in computer vision and machine learning.
Tailor Your CV:Customize your CV to highlight relevant experience in machine learning, deep learning, and programming. Emphasize any projects or roles that showcase your competence in computer vision and problem-solving.
Craft a Strong Cover Letter:Write a cover letter that reflects your passion for AI-driven technology and your hands-on mentality. Mention specific experiences that demonstrate your ability to work independently and collaboratively within a team.
Showcase Your Technical Skills:In your application, be sure to mention your programming skills, particularly in C++. If you have experience with embedded devices or relevant projects, include those details to strengthen your application.
Wie man sich auf ein Vorstellungsgespräch bei Xovis AG vorbereitet
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision and machine learning in detail. Bring examples of projects you've worked on, especially those involving state-of-the-art models or embedded devices.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Think of specific challenges you've faced in previous roles and how you overcame them, particularly in the context of ML engineering.
✨Highlight Collaboration Experience
Since teamwork is crucial in this role, be ready to share examples of how you've successfully collaborated with others. Discuss your approach to working within interdisciplinary teams and how you contribute to a positive team dynamic.
✨Stay Updated on Industry Trends
Show your passion for the field by discussing recent developments in AI and computer vision. Mention any relevant research or technologies that excite you and how they could apply to the company's work.
