Google is looking to solve real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more, by developing and deploying impactful AI solutions.
Requirements
- 4 years of experience with research agendas across multiple teams or projects.
- 3 years of experience with machine learning algorithms and tools, or Applied ML (e.g., LLM's, Generative AI, NLP, Recommendations).
- Experience in Coding in Python, JavaScript, R, Java, or C++.
- 2 years of experience in coding and leading multiple research efforts and influencing research direction.
- 2 years of coding experience in Python, JavaScript, R, Java, or C++.
- Ability to articulate technical concepts and influence technical directions.
- A portfolio or track record of developing and deploying impactful AI solutions to solve large-scale, real-world problems.
Responsibilities
- Design, develop, and deploy scalable and agentic AI solutions for enterprise use cases across domains like finance, sales, marketing, and retail, focusing on innovation and utility, with a user-centric perspective.
- Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
- Implement, optimize, and advance AI techniques, with both training-free and training-based approaches.
- Drive progress through experimentation cycles such as proposing hypotheses, designing validation methods, implementing and testing ideas, analyzing results, and iterating quickly to find optimal solutions.
- Provide technical leadership on projects and facilitate clarity on goals and timelines.
Other
- PhD degree in Computer Science, or a related field, or equivalent practical experience.
- Excellent communication skills.
- Ability to work with a small, experienced team of engineers, researchers, engaging in design and code reviews to foster a culture of continuous improvement.
- Must be willing to share and publish findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
- Must be able to work in the US, with a US base salary range for this full-time position
