20 beste Stellen als applied ai, senior/staff forward deployed machine learning in münchen, by – aktuell auf Personalsuche

Senior Deep Learning Engineer (m/f/d)
Omegga —München
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
Senior Data Scientist (m/w/d) mit Fokus AI
Skalar —München
- Informatik
- Master
- Datenbanken
Direkt bewerben
Senior Applied AI / ML Data Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Senior Software Engineer, Applied AI
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
Senior AI Engineer (w/m/d)
Skalar —München
- Vollzeit
- Informatik
- Master
- Datenbanken
Intern Machine Learning (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Machine Learning
- Künstliche Intelligenz
- Python
- Flexible Arbeitszeiten
Research Manager AI & Data, Simulation and Quantum (m/f/d)
TWT Science & Innovation —München
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Forschungserfahrung
Senior Agentic AI Process Designer (f/m/x)
BMW —München
- Vollzeit
- Künstliche Intelligenz
- Führungserfahrung
- Python
- Flexible Arbeitszeiten
Senior Consultant (m/f/d) Data & AI Strategy
Artefact —München
- Hybrides Arbeiten
- Microsoft Powerpoint
- Master
- SQL
Senior Software Engineer - Applied AI & Data Products
SQUER —München
- 68.000 € – 81.000 € pro Jahr
- Vollzeit
- Azure
- Java
- Master
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
Intern Machine Learning (all genders)
Avelios Medical —München
- Vollzeit
- Machine Learning
- Künstliche Intelligenz
- Python
- Flexible Arbeitszeiten
Generative AI Strategist, Generative AI Innovation Center
AWS EMEA SARL (Germany Branch) - H13 —München
- Vollzeit
- AWS
- Machine Learning
- Künstliche Intelligenz
Staff Quantitative Researcher – Energy Trading (f/d/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- Forschungserfahrung
- Machine Learning
Direkt bewerben
Applied AI Engineer Intern (m/f/d)
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Kundenberatung
- Master
- Machine Learning
- Flexible Arbeitszeiten
Direkt bewerben
4 Tage
Edge AI for Autonomous Hyperspectral UAV Systems
Sagio GmbH —München
- Informatik
- Master
- Machine Learning
- Flexible Arbeitszeiten
13 Tage
Staff Data Scientist - Trading (d/f/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- AWS
- Machine Learning
Direkt bewerben
Senior AI Engineer for the Infotainment Platform (f/m/x)
BMW —München
- Vollzeit
- Doktorat
- Informatik
- Master
- Flexible Arbeitszeiten
International Graduate Trainee - focus on AI Implementation (m/f/d)*
Munich Re —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Datenanalyse
- Machine Learning
- Aufstiegsmöglichkeiten
Intern Physical AI - Imitation Learning (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Werkstudent im Bereich Applied AI & Data Research (m/w/d)
Allianz —München
- Teilzeit
- Doktorat
- Informatik
- Englisch
- Kostenbeteiligung am Arbeitsweg
- Weiterbildungsprogramme
4 Tage

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Weitere Job-Standorte erkunden

applied ai, senior/staff forward deployed machine learning jobs near münchen, by

Senior Deep Learning Engineer (m/f/d)

Omegga
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenwohnung

Qualifikationen

TensorFlow
Doktorat
PyTorch
Forschungserfahrung
Master
Deep learning
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Our Mission

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.

What We Are Looking For

We are looking for a Deep Learning Engineer with strong research depth and hands-on implementation skills to push our model performance forward.

You will work on deep learning architectures and iterate rapidly: from hypothesis and experiments to evaluation, monitoring, and integration into our algorithm stack. Your work will directly improve detection quality and robustness in a real-world, noisy environment.

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 optimizing modern neural architectures, with demonstrated depth in transformer architectures and practical experience adapting them to specific domains (e.g., attention variants, efficiency improvements, robustness, training stability).
Ability to architect problem-specific models — adapt modern architectures, losses, and training objectives to the structure of the task, treating published work as a starting point rather than reaching for an off-the-shelf model
Strong Python deep learning stack experience (e.g. PyTorch, Tensorflow), including training pipelines, experimentation discipline, and reproducibility.
Real depth in the mathematical core of modern ML: probability, optimization, information theory, statistical inference. You can derive a loss function rather than just import one.
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.
Proven ability to deliver in fast-paced, high-ambiguity environments.

Why Us

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: To make your move to Munich smooth, we offer a fully furnished apartment within walking distance of the office for up to 6 months.

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.

Compensation: A competitive, market-aligned salary that reflects your contribution, with clear linkage to impact.

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

Direkt bewerben

Erweiterte Suche

applied ai, senior/staff forward deployed machine learning Jobs in münchen, by

Senior Deep Learning Engineer (m/f/d)

Senior Data Scientist (m/w/d) mit Fokus AI

Senior Applied AI / ML Data Engineer (f/m/x)

Senior Software Engineer, Applied AI

Senior AI Engineer (w/m/d)

Intern Machine Learning (all genders)

Research Manager AI & Data, Simulation and Quantum (m/f/d)

Senior Agentic AI Process Designer (f/m/x)

Senior Consultant (m/f/d) Data & AI Strategy

Senior Software Engineer - Applied AI & Data Products

Intern Machine Learning (all genders)

Generative AI Strategist, Generative AI Innovation Center

Staff Quantitative Researcher – Energy Trading (f/d/m)

Applied AI Engineer Intern (m/f/d)

Edge AI for Autonomous Hyperspectral UAV Systems

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

Senior AI Engineer for the Infotainment Platform (f/m/x)

International Graduate Trainee - focus on AI Implementation (m/f/d)*

Intern Physical AI - Imitation Learning (f/m/x)

Werkstudent im Bereich Applied AI & Data Research (m/w/d)

Ich möchte aktuelle Job-E-Mails für Stellen als applied ai, senior/staff forward deployed machine learning in münchen, by erhalten

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