Software Engineer III, AI/ML, Ads Auction Models

Google • Mountain View, CA

11h • $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.

Discover Ads owns the Ad Auction along with a bulk of the ML models that go into
predicting various auction components. To run an Ad Auction efficiently, we need
to predict many different user actions accurately (e.g., click-through-rate,
likelihood of a conversion, user satisfaction with the ads, and many others.

In this role, you will be an expert in ML and data analysis. You will join a
high-velocity modeling team that owns the core ML models for Auction ranking and
pricing. Our work directly impacts user experience and advertiser ROI through
state-of-the-art personalization. You will leverage Google’s most advanced ML
infrastructure to build large-scale deep neural networks.

We collaborate with Google DeepMind (GDM) and Ads AI to push the boundaries in
recommendation systems.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: Recommendation System, reinforcement learning (e.g., sequential decision making) or specialization in another ML field.
• Experience with data analysis and SQL.

Nice To Haves

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.
• Experience with auction theory or game theory.

Responsibilities

• Build end-to-end machine learning systems on large-scale data.
• Research novel ideas on model architectures and analysis, and then build, experiment and deploy them.
• Analyse data and feature engineering.
• 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.

What This Job Offers

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