ML Engineer, Apps Targeting & Ads NLP

Minimum qualifications:

• Bachelor's degree or equivalent practical experience
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Preferred qualifications:

• Master's degree or PhD in Computer Science, or similar technical field of study.
• Experience with Applied ML, quality iterations, and working with noisy data.
• Experience with C++, Python, JAX, Tensor Flow, or SQL for data analysis.

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.

The Apps Targeting team uses state-of-the-art Machine Learning to help advertisers promote their products on Search surfaces: , You Tube Search, and Play Search. Our small, fast-paced team is responsible for an important product driving business annually.

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 You Tube creators, with effective advertiser tools that deliver measurable results.

We also enable Google to engage with customers at scale.

Responsibilities

• Develop Machine Learning models (with focus on NLP and DNNs), from architecture changes to deployment, and analyzing the impact of changes on customer behavior.
• Work closely with research groups in Research Machine Intelligence (RMI) and the Search Ads Auction.
• Collaborate with teams across time zones, with an opportunity to travel to the Bay Area or New York.