Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job konzipierst du intelligente Modelle zur Analyse von 3D-Punktwolken und Bildern, integrierst diese in Systeme, evaluierst deren Leistung und optimierst sie für skalierbare Anwendungen in der Praxis.
Job Technologien
Deine Rolle im Team
- As a Senior Machine Learning Engineer, you will identify promising advances, rigorously evaluate them on our data, and make the strongest approaches work reliably at scale.
- Your primary focus will be point clouds and images, and in the future may expand to Gaussian splats, 360° video, CAD, and IFC data.
- You will configure, train, and adapt models, then integrate successful solutions into NavVis IVION to deliver measurable customer value.
- You will work with one of the world's largest collections of high-fidelity 3D point clouds and registered 360° imagery of real built environments, including construction sites, factories, manufacturing plants, and oil and gas facilities.
- Customers capture and upload around 500 million square meters of spatial data each year, including survey-grade point clouds with resolution as fine as 3 mm and dense registered imagery, and at petabyte scale every solution must balance quality, speed, memory use, robustness, and cost.
- This is a hands-on role at the intersection of computer vision, machine learning, and spatial data.
- Evaluate and integrate AI/ML models, systems, and frameworks for spatial data, primarily point cloud and image data, applying them to use cases such as object segmentation, semantic scene understanding, and generating derived artifacts such as a floor layout plan.
- Own the practical details that determine whether a system works in production: understand its constraints, make sound architectural choices, configure it correctly, prepare and preprocess data, and optimize its performance on our datasets.
- Design systematic evaluations using rigorous methodology so decisions are driven by evidence rather than impressions.
- Diagnose, debug, and enhance ML systems when results fall short, applying a deeply analytical mindset to understand why a model behaves the way it does and how to improve it.
- Adapt or fine-tune existing models to our data where it delivers meaningful value, focusing on applying and getting the most from the state of the art rather than from-scratch model development and training.
- Work closely with your team of computer vision, computer graphics, data processing, and full-stack engineers to turn ML capabilities into valuable features our users can rely on.
Unsere Erwartungen an dich
Qualifikationen
- Proven ability to adapt ML models and frameworks to real data, including data preparation, configuration, and performance optimization.
- A rigorous, evidence-driven approach to evaluation and experimentation, paired with strong analytical and debugging skills to understand and improve complex ML systems.
- A solid foundation in machine learning, linear algebra, and geometry.
Erfahrung
- A Master's or PhD in a relevant field (equivalent practical experience is equally valued).
- Several years of experience applying machine learning to real-world problems (exceptional candidates with less experience will also be considered).
- Strong Python skills and experience with modern deep-learning frameworks such as PyTorch or TensorFlow (C++ experience is a plus).
- Experience with spatial data, especially point clouds, images, or video data (familiarity with relevant architectures such as point or vision transformers, Segment Anything models, or Grounding DINO/CLIP is a plus).
Unser Angebot
- We offer 30 days of paid time off per year.
- Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy.
- Deutschlandticket subsidy to support sustainable travel using public transport.
- 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!
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
NavVis GmbH
NavVis baut Brücken zwischen der realen und der digitalen Welt: Mit unserer Technologie können Dienstleister und Unternehmen fotorealistische digitale Zwillinge ihrer Gebäude und Innenräume erstellen und gemeinsam nutzen
Description
- Gründungsjahr
- 2013
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)4.0
Culture
4.5Workingconditions
4.2Engineering
3.5Career Growth
4.0
Senior Machine Learning Engineer
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
