AI/ML Senior Software Engineer, Data Optimization and Platform

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with data structures and algorithms in Python.
• 3 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
• Experience with data analysis, data optimizations and data evaluations.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience working in a complex, matrixed organization.
• Experience in Gen AI.
• Experience in data optimization and data platforms.
• Experience with research to production.

About the job:

The company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're 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 the company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

In this role, you will be a part of a team operating in the Gemini Era, where AI is profoundly data-centric. Your mission is to improve the time to model quality for users, achieved by bringing data optimization techniques to a broad audience through integrated tools and platforms. In this role, the tooling automatically and efficiently applies data optimization techniques, and runs structured ablations to demonstrate to users which ones work best for their use case, and deliver insights on how to improve further. You will collaborate with key product teams across the company.

The ML, Systems, & Cloud AI (MSCA) organization at the company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all the company services (Search, YouTube, etc.) and the company Cloud. Our end users are Googlers, Cloud customers and the billions of people who use the company services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing.

Responsibilities:

• Scale data optimization techniques to enhance the performance and quality of ML models, while heavily shaping the technical direction of data platforms for model tuning across multiple product areas.
• Establish technical relationships with multiple product areas to define strategy and drive technical directions.
• Leverage existing assets and techniques from the company Research to accelerate model tuning velocity for teams like Bard and other product areas fine-tuning Gemini models.
• Collaborate with Research teams and ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces and supporting users adoption.
• Apply research and engage directly with users to advance the company’s goal of making AI helpful for everyone.

The company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.