Senior Software Engineer, Machine Learning, Messages

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with Machine Learning Algorithms, Machine Learning Architecture, Machine Learning Infrastructure.
• Experience using Python libraries and frameworks.

Preferred qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience with distributed systems and architecture, and systems integration.

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 be responsible for keeping users safe from phishing, malware, scams, and other unwanted interactions in our messaging products. You will partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate and maintain abuse protections. You will also work with many teams across Google as well as with external partners and worldwide telecommunication carriers to make this happen.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google.

Responsibilities

• Work on improving and simplifying models through advanced machine learning techniques.
• Be a trusted technical advisor to the team and solve complex Machine Learning challenges.
• Innovate and iterate on machine learning model design, improving quality, stability, and efficiency across the entire model lifecycle—from concept to deployment.
• Solve complex machine learning related problems by designing, running, and analyzing experiments using analytical and statistical methods.
• Contribute to code health, automation, and alerting systems to ensure model stability and performance.