Senior Engineering Manager, Cloud Machine Learning Compute Services

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Join Our Team: Senior Engineering Manager, Cloud Machine Learning Compute Services at Google

Are you ready to take the helm of a dynamic team focused on pioneering cloud machine learning initiatives? Google is looking for a seasoned Senior Engineering Manager to lead our Cloud Machine Learning Compute Services division. This is a unique opportunity to impact the world of technology by managing and advancing projects that optimize and innovate machine learning capabilities across global platforms.

Minimum Qualifications:

  • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
  • 17 years of experience in the software industry, including 7 years of experience in leading teams.
  • Proven expertise in building, managing, and leading teams dedicated to the development of cloud software systems.
  • Strong experience with machine learning systems applicable to computer vision, speech recognition, natural language processing, and machine translation models.
  • Hands-on programming skills in C++, Python, PyTorch, JAX, Tensorflow.

Preferred Qualifications:

  • Experience spearheading projects in Cloud-based services.
  • Successful track record of collaboration with both internal and external partners.
  • Knowledge handling distributed and parallel systems, LLMs, GenAI, computer vision, NLP and more.

About the Job:

As a Software Engineering Manager at Google, you’ll go beyond the conventional. You will not only provide technical leadership but also manage a diverse team of engineers. Your role involves optimizing code, influencing product strategy, and scaling technology solutions across various disciplines such as artificial intelligence, large-scale system design, and networking. This position is designed for leaders who can operate at remarkable scale and speed, ensuring that innovative engineering solutions reach across the globe.

Key Responsibilities:

  • Recruit top-tier Machine Learning Engineers focused on AI/ML and performance optimization.
  • Provide mentorship and technical guidance, establish a vision for team deliverables, and ensure efficient execution.
  • Enhance the performance of ML models on Cloud TPUs and GPUs, including tuning of PyTorch and JAX models.
  • Lead strategic initiatives within the Cloud ML Compute Services to foster collaboration and integrate cutting-edge technology across multiple platforms.
  • Collaborate with key partners within CMCS, Core ML, Research, and other technical teams to drive forward Google Cloud’s capabilities and offerings.

Google Cloud is the cornerstone for enterprise solutions, helping over 200 countries advance their digital transformation. Joining our team means being part of enabling growth and addressing the most crucial business problems worldwide through innovative technology.

Ready to lead the future of cloud machine learning technologies? Apply now to become Google’s next Senior Engineering Manager in Cloud Machine Learning Compute Services.