Machine Learning Engineer, Google DeepMind & Search

Stellenbeschreibung:

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.