Senior Software Engineer, Recommendations, Ads
Job Summary
Job Description
This Senior Software Engineer role at Google focuses on recommendations and ads. Responsibilities include writing and testing code, collaborating on design and code reviews, contributing to documentation, triaging and resolving product issues, and building and deploying recommendation system models (retrieval, prediction, ranking, personalization, search quality, embedding) in production. The ideal candidate will have 5+ years of software development experience, including experience with data structures and algorithms, and a strong background in machine learning and deep learning principles. The role requires experience building and deploying recommendation systems in production environments. Google offers a dynamic and challenging work environment with opportunities for professional development and growth.
Must have:
- 5+ years software development experience
- Experience with data structures/algorithms
- 3+ years building recommendation systems
- Experience with machine learning and deep learning
- Software design and architecture experience
Good to have:
- Master's or PhD in CS
- Experience with large datasets
- Statistical modeling and data analysis
- Experience developing accessible technologies
Perks:
- Bonus
- Equity
- Benefits
6 skills required
Job Details
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 building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production and experience building architecture.
- Experience with machine learning and deep learning principles.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience collecting, managing, and synthesizing large data sets and information from sources, statistical modeling, data mining, and data analysis.
- 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.The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 .
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 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.
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