Staff Software Engineer, Applied AI, Search
Google · Bengaluru, Karnataka, India
- On site
- Full-time
- $200,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Build Search for Commerce with AI.
- Develop scalable product search solutions.
- Create large-scale conversational agents.
- Work with DeepMind and Vertex AI.
- Collaborate with Global 1000 customers.
About the role
Staff Software Engineer, Applied AI Search
Google 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 Google 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.
Join our ambitious team to build Search for Commerce, a Google-quality search engine that powers both traditional search and the next generation of autonomous, Agentic AI discovery experiences for global retailers. You will have experience in search, indexing or serving and you will build scalable product search solutions, join us to shape the future of commerce!
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency.).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement solutions in one or more specialized ML areas and leverage ML infrastructure.
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred Qualifications
- 1 year of experience with software design and architecture.
- Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience in C++, and a in developing accessible technologies.
- Experience in a technical leadership role.
Key skills/competency
- Software Engineering
- Applied AI
- Search Technology
- Machine Learning Infrastructure
- Speech Recognition
- Reinforcement Learning
- System Design
- Technical Leadership
- Product Development
- Google Cloud
Skills & topics
- Software Engineer
- Applied AI
- Search
- Machine Learning
- AI
- Google Cloud
- Staff Engineer
- Artificial Intelligence
- Software Development
How to get hired
- Tailor your resume: Highlight experience in AI, search, and ML infrastructure.
- Showcase technical leadership: Emphasize your experience in design, architecture, and launching products.
- Quantify achievements: Use numbers to demonstrate impact in previous roles.
- Prepare for technical interviews: Brush up on coding, algorithms, ML concepts, and system design.
- Research Google's culture: Understand their values and how your experience aligns.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the minimum qualifications for the Staff Software Engineer, Applied AI, Search role at Google?
- The minimum qualifications include a Bachelor’s degree or equivalent experience, 8 years in software development, 5 years in product testing/launch, 3 years in software design/architecture, 5 years in areas like speech/audio, reinforcement learning, or ML infrastructure, and 5 years in ML design/infrastructure.
- What preferred qualifications does Google look for in a Staff Software Engineer, Applied AI, Search candidate?
- Preferred qualifications include 1 year of experience in software design/architecture, experience with ML infrastructure, proficiency in C++, experience developing accessible technologies, and experience in a technical leadership role.
- What will I be doing as a Staff Software Engineer, Applied AI, Search at Google?
- You will build a Google-quality search engine for commerce, develop scalable product search solutions, create AI-powered conversational agents, and contribute to the advancement of AI discovery experiences.
- What kind of AI experience is relevant for this role at Google?
- Experience in speech/audio technology, reinforcement learning, ML infrastructure, ML design, and deploying/evaluating ML models is highly relevant for this Staff Software Engineer position.
- What are the opportunities for growth and learning in the Applied AI team at Google?
- You'll have opportunities to work directly with model builders from DeepMind/Vertex, learn from AI leaders, and engage with Global 1000 customers through Google Cloud relationships.
- How does Google Cloud's Applied AI team impact businesses?
- The Applied AI team transforms how enterprises connect with customers through AI, building large-scale conversational agents for customer service, ordering, and other real-world applications.
- What is 'Search for Commerce' at Google?
- Search for Commerce is a Google-quality search engine powering both traditional search and next-generation autonomous AI discovery experiences for global retailers.
- Does Google Cloud's Applied AI team work with cutting-edge AI research?
- Yes, the team works directly with model builders from DeepMind and Vertex AI, indicating a close connection to cutting-edge AI research and development.