Staff Software Engineer, AI/ML

Requirements:

• 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.

Nice to haves:

• 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.

What you'll be doing:

• 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 team's tactical goal.
• Write product or system development code and participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Perks and benefits:

• Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
• Opportunities to switch teams and projects as you and the fast-paced business grow and evolve.
• Versatile role with leadership qualities and an enthusiastic approach to new problems across the full-stack.
• Collaborative innovation between Google and ambitious organizations.
• Enterprise-grade solutions leveraging cutting-edge technology and tools to help developers build more sustainably.