Senior Software Engineer, AI/ML NLP, Deep Learning, Search Infrastructure

Senior Software Engineer, AI/ML NLP, Deep Learning, Search Infrastructure

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corporate_fareGoogleplaceMountain View, CA, USA

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience with Natural Language Processing (NLP) concepts, algorithms, and experience in designing NLP solutions.

• 3 years of experience with deep learning, machine learning, and large-scale data processing.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• 3 years of experience with end-to-end Machine Learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Masters degree or PhD in Computer Science, or related technical field.
• 5 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 2 years of experience with AI Algorithms, Machine Learning Algorithms, Search Quality, and Search Infrastructure.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

About the job

Googles 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. Were 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.

Were seeking an engineer to contribute to DeepRank, one of the most impactful systems in Google Search, responsible for ranking web results. In this role, you will be involved in designing and optimizing this complex system. A key aspect of this role is to harness the newly available capabilities of Gemini, Googles advanced AI models, to push the boundaries of search relevance and quality. This is part of an exciting transition to build the next generation of DeepRank on the modern Gemax Prod framework.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Join Google Search AI and work at the intersection of industry leading

global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.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.

Responsibilities

• Write and test product or system development code. Address research and engineering problems at the edge of GenAI with potential for immediate real-world user impact at massive scale for current and emergent query streams.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Conduct applied research figuring out research developments best suited to solve open-ended problems. Build end-to-end ML systems spanning data, modeling, evaluation, and serving and search scale.
• Build a comprehensive understanding of the search stack, evaluation metrics, query sets, and philosophy of improving search quality and presentation. Partner closely with appropriate teams throughout Search, GDM, Research, Core ML, and Platforms.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

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 Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.