Senior Software Engineer, Map Ads Machine Learning

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience programming in Python or C++.

• 3 years of experience with one or more of the following: reinforcement

learning (e.g., sequential decision making), ML infrastructure, or

specialization in another ML field.

• 3 years of experience with end to end Machine Learning (e.g., model

deployment, model evaluation, optimization, data processing, debugging).

• 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.

• Experience developing accessible technologies.

• Experience with ads serving.

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 this role, you will work on exciting issues in ads serving, quality, and

formats to enhance user and advertiser value. You will have the opportunity to

shape a fast growing ads product. You will also have the opportunity to

contribute to the search renaissance with new integrations in AI Mode on Maps.

As a part of our team you will be working on improving the pre-click and

post-click quality of the ads. This role requires prior experience working with

ML models as well as strong backend engineering skills.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.).

• Analyze experiment results and identify opportunities for improvements in ad

quality, user happiness, and business.

• 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.

• Develop and work with ML models to improve the ads retrieval, pre/post click

quality, pricing, etc.