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Software Engineer III, Search Ads

Software Engineer III, Search Ads

1 Month ago • 2-4 Years • Artificial Intelligence • $136,000 PA - $200,000 PA

About the job

7 skills required for this role

Add these skills to join the top 1% applicants for this job

neural-networks

tensorflow

algorithms

deep-learning

data-structures

python

networking

Job Description

This Software Engineer III role at Google focuses on enhancing click prediction quality within Search Ads, primarily by improving Machine Learning (ML) model quality and personalization signals. Responsibilities include building large-scale ML systems, researching novel model architectures, conducting experiments, deploying models, and working with cutting-edge ML techniques and tools like TensorFlow, Adbrain, TPU, and recommendation systems. The position requires data analysis and feature engineering to optimize user and advertiser value within Discover Ads. The successful candidate will manage project priorities, deadlines, and deliverables, designing, developing, testing, deploying, maintaining, and enhancing software solutions.

Must have:

Bachelor's degree or equivalent experience
2+ years Python software development experience
Experience with data structures, algorithms, software design
Machine Learning/AI experience
Build large-scale ML systems
Improve click prediction quality

Good to have:

2+ years experience with ML classification, ranking, recommendation systems
Knowledge of deep learning neural networks (TensorFlow)

Perks:

Bonus
Equity
Benefits

Minimum qualifications:

Bachelor’s degree, or equivalent practical experience.
2 years of experience with software development in Python.
Experience with coding in data structures, algorithms and software design.
Experience in Machine Learning or Artificial Intelligence.

Preferred qualifications:

2 years of experience with ML classification systems, ranking and recommendation systems or similar.
Knowledge of deep learning neural networks including 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.

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

In this role, you will focus on improving click prediction quality, especially on Machine Learning (ML) modeling quality and personalization signals.

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.

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

Build machine learning systems on large scale data.
Research novel ideas on model architectures and analysis, and then build, experiment and deploy them.
Work with latest ML techniques, tools like TensorFlow, Adbrain, TPU, Recommendation systems.
Data analysis and feature engineering you will contribute to optimize user value and advertiser value in the Discover Ads.

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.