20 beste Stellen als algorithm engineer in münchen – aktuell auf Personalsuche

Senior Deep Learning Engineer (m/f/d)
Omegga —München
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
Senior Data Scientist - Dispatch (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
Python Quantitative Developer
Durlston Partners —München
- Bis zu 100.000 € pro Jahr
- Python
Senior Energy Data Analyst (d/f/m)
Flexa —München
- 85.000 € – 110.000 € pro Jahr
- Vollzeit
- Datenanalyse
- SQL
- Softwareentwicklung
Direkt bewerben
(Senior) Software Engineer - Robotic Applications
Brainlab —München
- Vollzeit
- Informatik
- C++
- Erfahrung mit Netzwerken
Direkt bewerben
Flight Control Law Engineer (m/f/d)
Quantum-Systems GmbH —Gilching
- Vollzeit
- Master
- Bachelor
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Swarming Software Engineer (m/f/d)
Quantum-Systems GmbH —Gilching
- Vollzeit
- C++
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Working Student – Wireless Communications & Networks for Drone Swarms
NeuralAgent GmbH —München
- Teilzeit
- Master
- C++
- Bachelor
Direkt bewerben
Flight Control Engineer – Redundancy Management (m/f/d)
Quantum-Systems GmbH —Gilching
- Vollzeit
- Master
- Bachelor
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Forward-Deployed Engineer (f/m/d)
Zeit AI (YC S24) —München
- 70.000 € – 230.000 € pro Jahr
- Vollzeit
- CRM-Software
- Informatik
- Wirtschaft
- Empfehlungsprogramm
Direkt bewerben
12 Tage
Master Thesis on Characterization of Sequence Robustness for Secure NTN Communications (d/f/m)
Airbus Defence and Space GmbH —München
- Vollzeit
- Master
- Scripting
- Python
13 Tage
Senior/Staff Quantum Error Correction Engineer
IQM Finland Oy —München
- Doktorat
- Forschungserfahrung
- Master
- Flexible Arbeitszeiten
Senior AI Software Engineer (m/f/d)
Quantum-Systems GmbH —Gilching
- Vollzeit
- C++
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
Principal System Engineer (f/m/d)
Renesas Electronics —München
- Vollzeit
- Systemdesign
- Elektrotechnik
- Python
Direkt bewerben
Senior Software Engineer Android (Kotlin) (F/M/D)
NavVis —München
- Softwareentwicklungszyklus
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
Flight Control Engineer (Modelling and System Identification) (m/f/d)
Textron Aviation —München
- Vollzeit
6 Tage
Robotics Software Engineer – Swarm Systems (m/f/d)
autonomous-teaming —München
- Vollzeit
- C++
- Python
Direkt bewerben
Quantum Integration Engineer
planqc —Garching bei München
- Vollzeit
- CAD
- Forschungserfahrung
- Elektrotechnik
Direkt bewerben
5 Tage
Sr. Computer Vision Engineer (3D Semantic Scene Understanding)
Conxai Technologies GmbH —München
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
Internship Quantitative Trading (Market Making) (m/f/x)
Scalable GmbH —München
- Hybrides Arbeiten
- Microsoft Excel
- Doktorat
- Datenanalyse
Direkt bewerben

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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

algorithm engineer Jobs in münchen

Senior Deep Learning Engineer (m/f/d)

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

Python Quantitative Developer

Senior Energy Data Analyst (d/f/m)

(Senior) Software Engineer - Robotic Applications

Flight Control Law Engineer (m/f/d)

Swarming Software Engineer (m/f/d)

Working Student – Wireless Communications & Networks for Drone Swarms

Flight Control Engineer – Redundancy Management (m/f/d)

Forward-Deployed Engineer (f/m/d)

Master Thesis on Characterization of Sequence Robustness for Secure NTN Communications (d/f/m)

Senior/Staff Quantum Error Correction Engineer

Senior AI Software Engineer (m/f/d)

Principal System Engineer (f/m/d)

Senior Software Engineer Android (Kotlin) (F/M/D)

Flight Control Engineer (Modelling and System Identification) (m/f/d)

Robotics Software Engineer – Swarm Systems (m/f/d)

Quantum Integration Engineer

Sr. Computer Vision Engineer (3D Semantic Scene Understanding)

Internship Quantitative Trading (Market Making) (m/f/x)

Ich möchte aktuelle Job-E-Mails für Stellen als algorithm engineer in münchen erhalten

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