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Senior Software Engineer, AI Search

Senior Software Engineer, AI Search

1 Month ago • 5-8 Years • Full Stack Development • Research & Development

About the job

4 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

data-structures

model-deployment

networking

Job Description

This Senior Software Engineer, AI Search role at Google involves leading a team in training data analysis, modeling, tuning, and evaluation for AI search products. Responsibilities include writing and testing code, collaborating with stakeholders, contributing to documentation, and designing/implementing ML solutions. The ideal candidate possesses 5+ years of software development experience, 3+ years in ML/NLP based products, and expertise in ML infrastructure. The role requires proficiency in data structures, algorithms, and software design/architecture, and involves working on projects impacting billions of users globally. The team is reimagining search, solving complex engineering challenges, and expanding infrastructure while maintaining accessibility.

Must have:

5+ years software development experience
3+ years ML/NLP experience
3+ years ML infrastructure experience
Data structures/algorithms expertise
Software design/architecture experience
Team leadership
Code writing & testing

Good to have:

Master's/PhD in CS
Experience with accessible technologies
Technical leadership experience

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience in ML/NLP based products, Training data generation, Training, Tuning.
3 years 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 field.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

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.

Responsibilities

Lead a team on training data analysis, modeling, Tuning, qualitative knowledge, evaluations, live experiments, metrics launch processes, etc.
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.
Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate knowledge in a chosen field.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.