Machine Learning Engineer, Google DeepMind & Search
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€90,000 - €145,000 / year
Based on market tech benchmarksSenior (5+ years)
Prior hands-on project experienceOn-site
Office collaboration scheduleMunich
Registered workplace addressRequired Tech Stack & Skills
AI Role Summary
Google Munich seeks a senior Machine Learning Engineer for DeepMind & Search to design, develop, and scale AI models impacting billions of users. Requires 5+ years of ML experience, strong Python/C++ skills, and expertise with TensorFlow or PyTorch.
Detailed Role Description
About the Role
Join Google's engineering team at the Munich Engineering Center (Erika-Mann-Str.) as a Machine Learning Engineer focusing on DeepMind & Search. You will design, develop, test, and deploy cutting‑edge ML solutions at Google scale, impacting billions of users across our global products.
Key Responsibilities
- Design, implement, and productionize machine learning models for search relevance and AI‑driven insights.
- Collaborate with research scientists to translate state‑of‑the‑art algorithms into scalable production pipelines.
- Build and maintain large‑scale data processing workflows using TensorFlow, PyTorch, and custom C++/Python tooling.
- Optimize model performance, latency, and resource utilization for real‑time serving.
- Participate in code reviews, design discussions, and cross‑functional architecture planning.
Required Qualifications & Skills
- 5+ years of professional experience in machine learning, deep learning, or related fields.
- Strong programming skills in Python and C++.
- Hands‑on experience with TensorFlow, PyTorch, or similar frameworks.
- Proficiency in data engineering concepts, large‑scale distributed systems, and cloud platforms (Google Cloud Platform preferred).
- Solid understanding of algorithms, statistics, and software engineering best practices.
- Excellent problem‑solving abilities and a passion for building products that scale.
Nice to Have
- Experience with reinforcement learning or generative models.
- Familiarity with Kubernetes, Docker, and CI/CD pipelines.
- Background in information retrieval or search technologies.
- Contributions to open‑source ML projects or publications in top conferences.
What We Offer / Benefits
- Competitive salary (€90k‑€145k) plus performance bonuses and equity.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off, parental leave, and flexible working hours.
- Access to cutting‑edge research, internal learning programs, and tech talks.
- State‑of‑the‑art office in Munich with on‑site cafeterias, gym, and wellness programs.
Quick Role Summary
| Job Title | Machine Learning Engineer, Google DeepMind & Search |
|---|---|
| Experience | Senior (5+ years) |
| Work Mode | On-site |
| Estimated CTC | €90,000 - €145,000 / year |
About The Employer
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