Senior Computer Vision Engineer @ Deltia (Remote within Europe)

Festanstellung, Vollzeit · Berlin

Your role
As part of our growing team, we are looking for a Senior Computer Vision Engineer who wants to work at a high-growth startup. As a CV engineer, you will train and deploy cutting-edge machine learning and deep learning models for our customers. 

This job would require working with advanced computer vision models deployed in manufacturing factories to provide customer insights. Furthermore, the job would require you to lead major projects and developments in our product, as well as support the growth of our engineering team.
Your profile
Essentials:
  • 4+ years of working experience in computer vision-related projects
  • Strong programming skills in Python or C++
  • In-depth knowledge of fundamental computer vision algorithms and technologies (e.g. Feature Matching, Edge Detection, Object Detection, Image Segmentation, etc.)
  • Familiarity with 3D Human Pose Estimation or Action Recognition state-of-the-art technologies
  • Experience taking a computer vision project from concept to production
  • Experience with one or more of the following cloud providers: Google Cloud Platform, AWS, Azure
  • Experience giving high-quality code reviews and working with large codebase
  • Fluency in English (German not required)

Nice-to-have:
  • Experience with deploying computer vision models to production with a focus on optimisation of their runtime
  • You've solved complex data labeling and maintenance problems in the past? That's of very high value to us
  • Multiple side projects or open source contributions


What we offer
  • A competitive salary & stock options
  • Work remotely from anywhere in Europe or come to our office at the AI Campus in Berlin where we closely cooperate with other exciting AI ventures
  • Be on the forefront in defining what artificial intelligence means in manufacturing and gain hands-on experience in working in an AI-first software company 
  • Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
  • Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
  • Network with professionals and leaders in the field, opening doors to potential future career opportunities

About the recruiting process:
  • Review: we go through every application received 
  • Get to know each other: first interview with our recruiter
  • Assessment Test: Online technical test - Here you solve a task that is specifically adapted to your department: this is how we want to learn more about your way of working.
  • Technical Interview: Speak with one of our computer vision engineers, to tell us more about your technical background, and to learn more about your role
  • Cultural Fit: Our main interest is to find out what drives you. You'll have the chance to talk to one of our founders and discuss your passions, values, and how they align with our company culture. We value authenticity, collaboration, and a growth mindset, and we want to ensure that you're not only qualified for the role but also excited about being part of our team and contributing to our mission.
  • Meet the team - Onsite Challenge: You'll get to meet others in our team. We value team fit over everything else. This also gives you the chance to see whether you'd enjoy working with us. You'll spend a day working with us facing an interesting challenge which you'll present to the team. We'll wrap up the day with a discussion on how you liked the day working with us.
  • Job offer: the recruiter will send the job offer to you. When you accept the offer, our HR department will prepare and send you the employment contract

About us
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.

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