Senior Deep Learning Engineer (m/f/d)

Omegga; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Relocation support

Monthly meal budget

Monthly perks budget

Annual learning budget

Free drinks and snacks

Zusammenfassung

Omegga in Munich is seeking a deep learning expert to advance AI through innovative research and applications in spectroscopy. The successful candidate will lead model enhancements, build evaluation frameworks, and ensure product impact within a global context. A strong background in modern neural architectures and practical experience in Python frameworks is essential. Omegga offers relocation support, flexible work arrangements, and various employee benefits, including vacation days and continuous growth opportunities.

Qualifikationen

• Proven experience with deep learning models and taking research to working systems.
• Strong knowledge of transformer architectures and their adaptations.
• Experience in developing training pipelines and ensuring reproducibility.

Aufgaben

• Advance deep learning models through research iteration.
• Build rigorous evaluation frameworks for deep learning performance.
• Monitor model quality and establish alerting signals for performance.

Kenntnisse

Deep learning experience

Modern neural architectures

Python (PyTorch, Tensorflow)

Experiment tracking

Fluency in English

Ausbildung

MSc in Computer Science or related field

PhD (optional)

Tools

Weights & Biases

Jobbeschreibung

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 This outdated practice still impacts billions of lives, and we're here to change that.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