Software Engineer III, AI/ML, Image Recommendation Modeling

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python and C++ programming

languages, or 1 year of experience with an advanced degree.

• 1 year of experience with Machine Learning, specifically reinforcement

learning (e.g., sequential decision making).

• 1 year of experience with ML infrastructure (e.g., model deployment, model

evaluation, data processing, debugging).

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience with personalization, recommender systems, or multimodal machine

learning.

• Experience developing accessible technologies.
• Strong problem-solving, collaboration, and communication skills.

ABOUT THE JOB:

Google's 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. 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 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.

As a part of the Ember team, you will help reimagine Google Images, a platform

serving over a billion daily interactions, to build a queryless,

hyper-personalized feed that fuels creativity worldwide.

In Google Search, we're reimagining what it means to search for information –

any way and anywhere. To do that, we need to solve complex engineering

challenges and expand our infrastructure, while maintaining a universally

accessible and useful experience that people around the world rely on. In

joining the Search team, you'll have an opportunity to make an impact on

billions of people globally.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Design and build scalable ML infrastructure for Ember’s 0-to-1 ranking and

feed blending platform.

• Apply advanced ML and multi-objective optimization techniques to curate a

hyper-personalized, inspiring visual feed for global users.

• Lead the technical execution of novel, GenAI-driven user experiences from

ideation to production rollout.

• Drive the end-to-end machine learning life-cycle, data gathering, model

training, offline/online evaluation, and deployment at a massive scale.

• Collaborate with Product Managers, UX, and cross-functional engineering teams

to define technical paths to launch and deliver on the product roadmap.