(Senior) Machine Learning Engineer

4 days ago
Full time role
Hybrid · Maxvorstadt, München, BY, DE... more

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

 

THE OPPORTUNITY

Imagine being part of a team where you'll work on cutting-edge projects that seamlessly combine advanced research with real-world applications. Together, we’ll solve complex problems and create innovative products that truly make a difference.

As a Machine Learning Engineer, you'll be at the heart of this journey, collaborating with a talented, diverse team from various backgrounds. Whether you bring practical experience or a PhD, with at least 3-5 years in the field of machine learning, you’ll play a key role in developing solutions and driving initiatives forward. You’ll not only contribute your expertise but also elevate the team's collective knowledge, broadening how we apply machine learning to solve exciting challenges in areas like 3D reconstruction and computer vision.

If you’re passionate about pushing the boundaries of machine learning, thrive in a collaborative, cross-functional environment, and are eager to learn and grow, we’d love to have you on board!

 

HOW YOU WILL MAKE AN IMPACT

  • Designing, implementing, and optimizing machine learning and deep learning models. Focusing on their applications in 2D and 3D data domains, including image processing, depth estimation, pose estimation, and surface reconstruction.

  • Working with 2D and 3D data, including preprocessing, augmentation, and model adaptation.

  • Collaborating with teams to integrate ML solutions into existing workflows and products.

  • Conducting applied research to leverage proven technologies for developing new products.

  • Developing efficient, scalable, and reproducible training pipelines.

  • Analyzing model performance and implementing improvements based on metrics.

 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

  • Strong theoretical understanding and practical experience in Machine Learning & Deep Learning

  • Several years of hands-on experience in applying ML / DL techniques to challenges in computer vision and 3D reconstruction such as depth estimation, pose estimation, image processing and surface reconstruction.

  • Proficiency in PyTorch or Tensorflow

  • Strong Python skills for writing efficient and maintainable solutions

  • A solid foundation in mathematical concepts of geometry and optimization.

  • BS, MS or PhD in computer vision, machine learning, computer science or related fields

Would be an added benefit:  

  • Familiarity with large-scale distributed training.

  • Experience with C++ and typical libraries such as Open3D, PyTorch3D, OpenCV and PCL is a plus.

  • Experience with Linux

  

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Rina (she/her). You can expect to go through a screening call, and up to 3 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

 

HOW WE WILL KEEP YOU SMILING

  • It's important to take a break from work! We offer 30 days of paid time off per year 
  • We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
  • We offer full visa and relocation support for international candidates
  • An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
  • A competitive compensation package that values the skills and experience you bring
  • Up to 4000 EUR employee referral bonus 
  • Financial support for local language classes to help you in your journey of integrating into the culture!

 

ABOUT US

NavVis is a technologically-focused, global leader in reality capture and digital factory solutions. Prominent manufacturers and laser scanning professionals from across the world trust our ground-breaking technology, which is designed to capture and share the built environment as photorealistic digital twins.

More than 300 people from over 70 countries and offices spread around the globe make us a truly international and diverse place to work. With the innovation of startups and the stability of large enterprises at our core, we combine the best of both worlds. 

You will be part of an open culture that encourages the sharing of ideas and thrives on mutual trust, respect, and transparency. We love giving and receiving honest feedback that will empower us to continuously improve and grow in the right direction. 

Do you share our passion for our disruptive technology and want to be a part of our dynamic growth journey? You will get to own projects, implement innovative solutions, and be recognized for your successes! 

How you will grow with us

  • Flat hierarchy with an open feedback culture, including 360° developmental feedback aimed at holistic professional development 
  • Access to a learning & developmental platform with trainings tailored to your needs on a broad range of topics
  • With a keen desire to invest in your personal growth, we offer clear career development paths and internal mobility opportunities 
We derive our strength from our diversity.

NavVis’ unwavering commitment to fostering an inclusive and diverse workplace has laid the foundation for our incredible growth. We thrive on the collective strength of our people who come from diverse backgrounds. We respect and value every experience associated with race, gender identity, sexual orientation, nationality, religion and disability. We do not discriminate on the basis of any of these, or other identities, and strongly encourage everyone to apply.

Together with you, we build NavVis!

If you need assistance at any stage of the recruiting process due to a disability, please reach out to your recruiting partner(s) for this position.