Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development and with data structures/algorithms in either (C, C++, Python, Java or Go).
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience designing, training, and evaluating machine learning models.
• Experience using generative AI, to solve real-world issues.

Preferred Qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• Ability to take an issue and reduce it to a core experiment to prove or disprove a hypothesis.
• Ability to guide the work of others and the ability to empathize with customer needs to generate solutions.

About the Job:

Googles software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. Were looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

We are a diverse team of experienced engineers and technologists working directly with Cloud leadership. Our mission is to foster market-disrupting collaborative innovation between Google and the worlds ambitious organizations. We focus on complex technical tests with Cloud’s most important customers, delivering collaborative and practical solutions.

In this role, you will be running an incubation program designed to drive Cloud innovation through joint experimentation. You will partner with other engineering teams and key customers to build technology that pushes the boundaries of whats possible with real-world applications and open to impact in any area of technology, provided it aligns with the needs of Cloud customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities:

• Drive the creation and execution of experiments across diverse machine learning domains.
• Assess technical tests and develop practical, testable solutions.
• Partner with Google Cloud Platform (GCP) product and engineering teams, Google Research, and GCP customers to identify and implement real-world applications of cutting-edge generative AI and machine learning technologies.
• Contribute to building a positive and inclusive team culture that emphasizes teamwork, innovation, and collaboration including playing a key role in shaping and executing the teams tactical goal.
• Write product or system development code and participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

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