Senior Software Engineer, AI/ML, Search Discover Personalization

Google Inc.; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google's Senior Software Engineer, AI/ML, Search Discover Personalization in Mountain View, CA, leads development of scalable recommender and personalization components for the Discover stack.

The role requires strong Python expertise, 5 years of software development experience, and 3 years building production-grade recommender systems. Advanced degrees are preferred; ML/NLP experience is a bonus.

Qualifications

• Bachelor's degree or equivalent practical experience is required.
• 1) 3 years of experience building and deploying recommender systems models in production.
• 2) 3 years of experience testing, maintaining, or launching software products.

Responsibilities

• Innovate on understanding user interests and content retrieval.
• 2) Collaborate with partners to address user problems and personalization opportunities.
• 3) Work with large-scale user data to train data for ML models and experiment with state-of-the-art algorithms.
• 4) Improve model quality via evaluations and live experiments to impact products.
• 5) Integrate models with Discover stack and own projects end-to-end.

Skills

Python

Recommender systems

Software deployment

Problem solving

Education

Bachelor's degree or equivalent

Master's degree or PhD in CS or related field

Tools

JAX

TensorFlow

Job description

Senior Software Engineer, AI/ML, Search Discover Personalization

Share Senior Software Engineer, AI/ML, Search Discover Personalization

corporate_fare Google place Mountain View, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Python.
• 3 years of experience building and deploying recommendation systems models
  (retrieval, prediction, ranking, personalization, search quality,
  embedding) in production; and experience building architecture.
• 3 years of experience testing, maintaining, or launching software products and 1 year of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 3 years of experience developing and optimizing deep learning algorithms
  and architectures.
• 3 years of experience with machine learning algorithms and tools (e.g. JAX, TensorFlow, deep learning, natural language processing, LLM based applications, LLM finetuning, etc.).
• Experience with user understanding and personalization and a passion for diving deep into recommender systems.
• Strong software development experience with a high level of mathematical aptitude, demonstrated problem-solving skills, and proven logical, problem-solving, and investigative thinking.

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.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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Innovate on the methodology of understanding user's interests. Develop and apply techniques for content retrieval.
• Collaborate with partners and teammates to understand the user problems and opportunities for applying personalization.
• Work with the large-scale user data to generate desired training data in a reliable and scalable manner. Implement and experiment with different state of art ML algorithms and model architectures, including but not limited to LLM, deep learning, distillation, etc.
• Iterate on the model quality via evaluations, demonstrations and live experiments to realize positive product impacts. Leverage the user understanding model to retrieve content across content formats (articles, posts, videos, AI generated content, etc.).
• Integrate models/components with Discover stack to ensure system efficiency and effectiveness. Take full ownership of projects, including ideation, implementation, analysis, and maintenance.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.