20 beste Stellen als data scientist in solln – aktuell auf Personalsuche

Research Scientist - 3D Reconstruction (SfM & SLAM)
SpAItial —München
- Vollzeit
- Doktorat
10 Tage
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PAYBACK GmbH —München
- Englisch
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- Flexible Arbeitszeiten
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Flix SE —München
- Doktorat
- Master
Research Scientist - Robot Learning (VLA / WAM)
SpAItial —München
- Vollzeit
- Doktorat
10 Tage
Staff Data Scientist - Trading & Quant (d/f/m)
Flexa —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
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- Wirtschaft
Direkt bewerben
10 Tage
Principal Data Scientist (m/w/d)
Alexander Thamm GmbH —München
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(Senior) Forward Deployed AI Scientist, Operations & Optimization, Germany & Austria - BCG X
Boston Consulting Group —München
- Vollzeit
- Doktorat
- Master
Postdoc (m/f/d) – Gastroenterology
TUM Klinikum Rechts der Isar —München
- Teilzeit
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Data Scientist in Advanced Analytics (m/w/d)
Allianz —München
- Vollzeit
- Datenanalyse
- Master
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Research Scientist - World Models
SpAItial —München
- Vollzeit
- Doktorat
- Informatik
Software Engineer - AI Workflows (m/f/d)
EnOcean —München
- Vollzeit
- Homeoffice-Möglichkeit
Direkt bewerben
Lead Data Scientist (m/w/d)
OMMAX GmbH —München
- Doktorat
- Englisch
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Senior Data Scientist (m/f/d)
AutoScout24 —München
- Informatik
Applied AI, Forward Deployed Machine Learning Engineer
Mistral AI —München
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- Master
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CTAO and Synergy Programme Scientist
European Southern Observatory —Garching bei München
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Senior Data Scientist (m/f/d)
Flix —München
- Doktorat
- Master
Direkt bewerben
Senior Data Scientist with focus Statistical Programming (f/m/d - part/full-time)
Staburo GmbH —München
- Vollzeit
- Informatik
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
ESO Fellowship Programme Europe 2026/2027
European Southern Observatory —Garching bei München
- Doktorat
- Zeitmanagement

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Research Scientist - 3D Reconstruction (SfM & SLAM)

SpAItial
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 10 Tagen

Qualifikationen

Doktorat

Vollständige Stellenbeschreibung

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.

We're seeking a Research Scientist focused on 3D reconstruction. You will advance methods that recover accurate camera poses and geometry from real-world imagery, working with both classical multi-view geometry and state-of-the-art learned reconstructors. The work includes structure-from-motion, bundle adjustment, SLAM, or feed-forward reconstruction, with a focus on robustness, accuracy, and methods that hold up on diverse real-world data.

Responsibilities

Design camera pose estimators and 3D reconstructors.
Build robust SfM and camera tracking pipelines for a variety of input imaging sensors.
Develop bundle adjusters and nonlinear optimizers, including non-perspective camera formulations.
Integrate and extend SOTA feed-forward reconstructors (VGGT, DA3, Pi3)
Advance deep multi-view stereo, learned matching, and monocular depth methods for dense geometry.
Build evaluation metrics for pose accuracy and reconstruction quality, and drive improvements against public & internal benchmarks.
Scale reconstruction methods to large, diverse real-world datasets while keeping them reliable and efficient.
Collaborate with researchers to bring reconstruction advances into production systems.

Key Qualifications

PhD in computer vision with a research focus on 3D reconstruction; publications at top venues (CVPR, ICCV, ECCV, NeurIPS).
Deep understanding of multi-view geometry: camera models, epipolar geometry, triangulation, PnP, etc.
Strong familiarity with SOTA deep reconstructors (VGGT, DA3, Pi3) and related areas such as deep MVS, learned matching, and monocular depth estimation.
Hands-on experience with SfM/SLAM systems (COLMAP, ORB-SLAM) and nonlinear least-squares solvers (Ceres).
Experience shipping production-grade 3D reconstruction systems is a strong plus.
Strong Python and PyTorch skills.
Comfortable debugging failure cases on challenging real-world data.

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

Jetzt bewerben

Erweiterte Suche

data scientist Jobs in solln

Research Scientist - 3D Reconstruction (SfM & SLAM)

Wavefront Scientist

Staff Data Scientist - Trading (d/f/m)

Machine Learning Engineer (M/W/D)

Senior Data Scientist (m/f/d)

Research Scientist - Robot Learning (VLA / WAM)

Staff Data Scientist - Trading & Quant (d/f/m)

Principal Data Scientist (m/w/d)

(Senior) Forward Deployed AI Scientist, Operations & Optimization, Germany & Austria - BCG X

Postdoc (m/f/d) – Gastroenterology

Data Scientist in Advanced Analytics (m/w/d)

Research Scientist - World Models

Software Engineer - AI Workflows (m/f/d)

Lead Data Scientist (m/w/d)

Senior Data Scientist (m/f/d)

Applied AI, Forward Deployed Machine Learning Engineer

CTAO and Synergy Programme Scientist

Senior Data Scientist (m/f/d)

Senior Data Scientist with focus Statistical Programming (f/m/d - part/full-time)

ESO Fellowship Programme Europe 2026/2027

Ich möchte aktuelle Job-E-Mails für Stellen als data scientist in solln erhalten

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