20 beste Stellen als deep learning in bayern – aktuell auf Personalsuche

Senior Deep Learning Engineer (m/f/d)
Omegga —München
- Vollzeit
- Doktorat
- Master
- Künstliche Intelligenz
Direkt bewerben
Software Engineer (m/f/d) Deep Learning and Algorithms - heart.ai
Abbott Laboratories —München
- Vollzeit
- Doktorat
- Informatik
- Master
Senior Machine Learning Engineer/ Research Scientist
Tools for Humanity —München
- Vollzeit
- Machine Learning
- Python
11 Tage
Machine Learning Engineer (m/f/x) - Geospatial AI
osapiens —München
- Hybrides Arbeiten
- AWS
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
Quality Assurance Lead (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Produktmanagement
- Führungserfahrung
- Flexible Arbeitszeiten
Machine Learning Engineer
Redcley —München
- Doktorat
- Informatik
- Wartung
Werkstudent – Computer Vision & Deep Learning (m/w/d)
Maurer Electronics GmbH —München
- 1.348 € – 1.435 € pro Monat
- Teilzeit
- Informatik
- Englisch
- C++
Machine Learning Scientist
Nucs AI —München
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
Research Engineer - 3D World Models
SpAItial —München
- Vollzeit
- Forschungserfahrung
- Master
- Bachelor
LCA Consultant (All Levels) | Climate Tech (all genders)
carbmee GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Master
- Datenbanken
- Künstliche Intelligenz
Direkt bewerben
Informatiker/in (w/m/d) - Verkehrsflächen-Segmentierung
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) —Oberpfaffenhofen
- Teilzeit
- Englisch
- Machine Learning
- PC-Kenntnisse
- Weiterbildungsprogramme
17 Std.
Mobile App Product Owner (m/f/d)
limango GmbH —München
- Informatik
- Kundenberatung
- Bachelor
Working Student Product Management (all genders)
Avelios Medical —München
- Teilzeit
- Agile
- Flexible Arbeitszeiten
Werkstudent – Computer Vision & Deep Learning (m/w/d)
Bundesdruckerei GmbH —München
- 1.348 € – 1.435 € pro Monat
- Informatik
- Englisch
- C++
- Flexible Arbeitszeiten
5 Tage
(Senior) Product Designer (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Mit Reiseanteil
- Flexible Arbeitszeiten
Staff MRI Scientist - Healthcare (f/m/d)
Orbem —München
- 90.000 € – 100.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Künstliche Intelligenz
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Chief Information Security Officer (f/m/d)
Orbem —München
- 120.000 € – 135.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Working Student (m/f/d) – Experience-Ready Twin Generation using AI agents
Dassault Systèmes —München
- C++
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Research Scientist - World Models
SpAItial —München
- Vollzeit
- Doktorat
- Informatik
- Python
Senior AI Developer (m/w/d)
PartSpace —Nürnberg
- Vollzeit
- Homeoffice
- Informatik
- Englisch
- C++
- Kostenloser Parkplatz
- Gleitzeit
Direkt bewerben

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Senior Deep Learning Engineer (m/f/d)

Omegga
München

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

TensorFlow
Doktorat
PyTorch
Master
Deep learning
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

What We’re Building Towards

At Omegga, we're on a mission to reinvent how AI and spectroscopy can drive positive change for animals, people and the planet. We started with a clear objective: eliminate chick culling on a global scale through early, non-invasive in-ovo sex detection. This outdated practice still impacts billions of lives, and we're here to change that. We're not building for the niche, we're building for the global standard.

Today, our systems are already in use, and the focus is on scaling performance, robustness, and deployment across an international customer base. For us, scaling means more than growth. It means changing an industry for the better.

We are looking for people who take ownership, think in systems, and want to help turn a working product into the industry benchmark. If that sounds like you, we'd love to hear from you.

Your Mission: What You'll Do

Advance our deep learning models through research iteration: develop and test architectural improvements, training objectives, and optimization techniques. You will own the loop from idea experiment conclusion next iteration.
Build rigorous evaluation and benchmarks: define evaluation sets, establish clear metrics (precision, recall, accuracy, calibration), and create repeatable benchmark runs so improvements are measurable and comparable over time.
Own monitoring of model quality: set up monitoring for model performance and data shifts, define alerting signals, and build lightweight reporting that makes regressions visible early.
Partner cross-functionally to turn findings into impact: work with data/engineering teams to improve datasets and labeling strategies, and with product/ops stakeholders to align on what “good” looks like in practice.

Your Profile: Qualifications & Requirements

MSc in Computer Science or a related field with 4+ years of applied deep learning experience, or a PhD — paired with a proven track record of taking research from idea to working system.
Strong understanding of modern neural architectures, with demonstrated depth in transformer architectures and practical experience improving and adapting them (e.g., attention variants, efficiency improvements, robustness, training stability).
Strong Python deep learning stack experience (e.g. PyTorch, Tensorflow), including training pipelines, experimentation discipline, and reproducibility.
Solid experience with experiment tracking and model evaluation tooling (e.g. Weights & Biases or similar), and a strong bias for measurement-driven progress.
Fluency in English, German is a plus

Nice to have

Experience with domain adaptation and evaluation in imbalanced settings (rare events, high cost of misses/false alarms).
Familiarity with deployment-adjacent concerns: model packaging, performance constraints, and continuous evaluation in changing real-world conditions.
Experience working with sensor/time-series or industrial data, where edge cases and dataset shifts are the norm.
Experience with agentic AI development workflows to speed up experimentation (analysis, ablations, test scaffolding) while maintaining careful review and scientific rigor.

What You’ll Get

Mission & Technical Challenge: At Omegga, you work on problems that are both technically demanding and globally relevant. We build deep-tech solutions with real-world impact, pushing the boundaries of what's currently possible.

Relocation Support: Moving to Munich? We help you find an apartment in the Werksviertel within walking distance of the office. We connect you with the right contacts and take the stress out of apartment hunting.

Work Environment: Located in Munich's Werksviertel, we combine a focused, high-performance culture with flexibility. Up to 50% remote work, depending on role and execution needs.

Ownership: VSOPs (Virtual Stock Options) so you share in the value you help create.

Time Off: 28 vacation days per year, plus December 24th and 31st off.

Benefits & Growth

Monthly meal budget for whatever keeps you going, from quick lunches to proper team dinners
Monthly perks budget to spend where it actually matters to you — fitness, mobility, or the occasional "I earned this" purchase
Annual learning budget to invest in your growth, from conferences to deep dives into new domains
Free drinks, coffee, and snacks in the office to keep you focused throughout the day

Direkt bewerben

Erweiterte Suche

deep learning Jobs in bayern

Senior Deep Learning Engineer (m/f/d)

Software Engineer (m/f/d) Deep Learning and Algorithms - heart.ai

Senior Machine Learning Engineer/ Research Scientist

Machine Learning Engineer (m/f/x) - Geospatial AI

Quality Assurance Lead (all genders)

Machine Learning Engineer

Werkstudent – Computer Vision & Deep Learning (m/w/d)

Machine Learning Scientist

Research Engineer - 3D World Models

LCA Consultant (All Levels) | Climate Tech (all genders)

Informatiker/in (w/m/d) - Verkehrsflächen-Segmentierung

Mobile App Product Owner (m/f/d)

Working Student Product Management (all genders)

Werkstudent – Computer Vision & Deep Learning (m/w/d)

(Senior) Product Designer (all genders)

Staff MRI Scientist - Healthcare (f/m/d)

Chief Information Security Officer (f/m/d)

Working Student (m/f/d) – Experience-Ready Twin Generation using AI agents

Research Scientist - World Models

Senior AI Developer (m/w/d)

Ich möchte aktuelle Job-E-Mails für Stellen als deep learning in bayern erhalten

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