Software Engineer, Machine Learning, YouTube Ads

BrandFlourish Enterprise

Mountain View, CA

Full Time

Mid Level

141k-202k

about 1 month ago

Job Description

About the Role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. The role involves working on specific projects critical to Google's needs, with opportunities to switch teams and projects as the business evolves. The team focuses on user experience of YouTube Ads, developing auction user cost, survey infrastructure, and improving ad relevance and quality. Google Ads powers the open internet by creating value for people, publishers, advertisers, and Google through various advertising products and analytics, supporting businesses of all sizes.

Key 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.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Requirements

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.
1 year of experience with one or more of the following: Speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Nice to Have

Master's degree or PhD in Computer Science or related technical fields.
Experience developing accessible technologies.
Experience in the Ads domain (search, display, video, shopping).
Experience with data storage systems for advertising platforms or large-scale recommender systems.
Experience with Machine Learning (ML) or Artificial Intelligence (AI), specifically within recommender systems.

Qualifications

Educational background includes a Bachelor's degree or higher (Master's or PhD preferred).

Benefits & Perks

US base salary range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits.
Salary ranges are determined by role, level, and location, with individual pay influenced by work location, skills, experience, and education.
Additional benefits include bonus, equity, and other perks (details available during the hiring process).

Working at BrandFlourish Enterprise

Google values versatility, leadership qualities, enthusiasm for new problems, and innovation across a broad range of technical areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. The company fosters a fast-paced environment where engineers are encouraged to bring fresh ideas and adapt to evolving projects.

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