20 beste Stellen als applied ai engineer, ml infrastructure engineer / devops emea in martinsried, by – aktuell auf Personalsuche

Senior Deep Learning Engineer (m/f/d)
Omegga —München
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
Belgian National Engineering Graduate Trainee Scheme
European Southern Observatory —Garching bei München
- Doktorat
- Master
- C++
Senior Machine Learning Engineer/ Research Scientist
Tools for Humanity —München
- Vollzeit
- Machine Learning
- Python
Forward Deployed Engineer - Internship (f/m/d)
Manex AI GmbH —München
- Vollzeit
- Bachelor
- Python
Senior Consultant (m/f/d) Data & AI Strategy
Artefact —München
- Hybrides Arbeiten
- Microsoft Powerpoint
- Master
- SQL
Equipment Engineer (m/f/d) - for semiconductor industry
Applied Materials —Heimstetten
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Projektmanagement
- Mit Reiseanteil
R&D Mechanical Engineer (m/w/d) - semiconductor industry
Applied Materials —Heimstetten
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Master
- Bachelor
- Produktion
Machine Learning Engineer (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Informatik
- Machine Learning
- Python
- Flexible Arbeitszeiten
Product Engineer - Special Projects (d/f/m)
Entrix —München
- 90.000 € – 120.000 € pro Jahr
- Vollzeit
- AWS
- APIs
- Python
Direkt bewerben
Machine Learning Engineer (all genders)
Avelios Medical —München
- Vollzeit
- Informatik
- Machine Learning
- Python
- Flexible Arbeitszeiten
Senior Data Scientist - Trading (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
Senior Machine Learning Engineer
Tools for Humanity —München
- Vollzeit
- Machine Learning
- Python
1 Tag
Manufacturing Engineer
Helsing —München
- 450 € – 500 € pro Jahr
- Homeoffice
- ERP-Systeme
- Produktion
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
Staff Data Scientist - Trading (d/f/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- AWS
- Machine Learning
Direkt bewerben
Supplier Quality Engineer (m/f/d) - semiconductor industry
Applied Materials —Heimstetten
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Master
- Bachelor
- Mit Reiseanteil
Senior Data Engineer (F/M/D)
Animore —München
- Vollzeit
- Englisch
- AWS
- Python
Direkt bewerben
Senior Data Scientist - Dispatch (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
Partner Solutions Architect
Nebius —München
- Homeoffice
- Azure
- AWS
- Künstliche Intelligenz
Direkt bewerben
6 Tage
Senior Product Owner
Bragi —München
- Homeoffice
- Agile
- Flexible Arbeitszeiten
Direkt bewerben
2 Tage
Solutions Engineering, Architect
Synopsys —München

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applied ai engineer, ml infrastructure engineer / devops emea jobs near martinsried, 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 engineer, ml infrastructure engineer / devops emea Jobs in martinsried, by

Senior Deep Learning Engineer (m/f/d)

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R&D Mechanical Engineer (m/w/d) - semiconductor industry

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Machine Learning Engineer (all genders)

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

Senior Machine Learning Engineer

Manufacturing Engineer

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

Supplier Quality Engineer (m/f/d) - semiconductor industry

Senior Data Engineer (F/M/D)

Senior Data Scientist - Dispatch (d/f/m)

Partner Solutions Architect

Senior Product Owner

Solutions Engineering, Architect

Ich möchte aktuelle Job-E-Mails für Stellen als applied ai engineer, ml infrastructure engineer / devops emea in martinsried, by erhalten

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