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Software Engineer, Discover Trending Quality

Software Engineer, Discover Trending Quality

1 Month ago • 2-5 Years • Artificial Intelligence

About the job

6 skills required for this role

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

tensorflow

cpp

algorithms

data-structures

model-deployment

networking

Job Description

This Software Engineer role focuses on improving the quality of Google's trending content discovery. Responsibilities involve writing and reviewing code, collaborating with stakeholders, maintaining documentation, debugging system issues, building and deploying recommendation system models, utilizing ML infrastructure, and optimizing data processing. The ideal candidate possesses strong software development skills, experience with data structures and algorithms, and a proven track record in content recommendation or user personalization. Experience with ML infrastructure and model deployment is essential. The role requires contributing to model optimization and data processing, ensuring best practices in code quality and efficiency.

Must have:

Bachelor's degree or equivalent experience
2+ years software development experience
2+ years data structures/algorithms experience
2+ years experience in quality working on content recommendation or user personalization problems
1+ year experience building and deploying recommendation systems models
1+ year experience with ML infrastructure

Good to have:

Master's/PhD in CS or related field
Experience building/improving ML models
Experience developing accessible technologies
Experience in C++, Dremel/F1, and TensorFlow

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms.
2 years of experience in quality working on content recommendation or user personalization problems.
1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
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 building/improving Machine Learning models.
Experience developing accessible technologies.
Experience in C++, Dremel/F1 and TensorFlow.

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 will have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Write 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.
Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.

View Full Job Description

$136.0K - $200.0K/yr (Outscal est.)

$168.0K/yr avg.

Worldwide

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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.