Software Engineer III, AI/ML, Ads Measurement

Google • New York, NY

12h • $141,000 - $202,000

About The Position

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.

Google’s advertising measurement team focuses on combining data at scale with
formal science to make this possible. Our science helps make advertising useful
and delightful to our users, and valuable and results-driven for our advertisers
and publishers.

The goal is better modeling users' sequence of actions and measuring the impact
of ads on users over a long time horizon by leveraging many emerging datasets of
user actions across both ads and organic spaces.

Google Ads is helping power the open internet with the best technology that
connects and creates value for people, publishers, advertisers, and Google.
We’re made up of multiple teams, building Google’s Advertising products
including search, display, shopping, travel and video advertising, as well as
analytics. Our teams create trusted experiences between people and businesses
with useful ads. We help grow businesses of all sizes from small businesses, to
large brands, to YouTube creators, with effective advertiser tools that deliver
measurable results. We also enable Google to engage with customers at scale.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience in SQL.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with deep learning.

Nice To Haves

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience building and deploying sequence modeling architectures, such as transformers, LSTMs, or GRUs.
• Experience developing accessible technologies.

Responsibilities

• Write product or system development code.
• 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.
• Write and maintain SQL queries/libraries used for data analysis.
• Collaborate with Data Scientists and Engineers to evaluate and improve the modeling quality.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level