Staff Software Engineer, AI/ML

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.

Preferred qualifications:

• 5 years of experience working cross-functionally with AI/ML engineering.
• Experience in software development of systems.
• Experience with security.

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 Arc-AI team is part of the Mobile Threat Analysis Platform group in the AASE (Android App Safety Engineering) organization. The team's mission is to provide solutions for detection and enforcement against abusive code developed by adapting adversaries.

The US base salary range for this full-time position is $197,000-$291,000 + 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.

Responsibilities

• Extract characteristics (e.g., code structure, API calls, network behavior) from files for model input.
• Select, train, and optimize rule-based or ML-based to learn patterns indicative of malware.
• Test model performance and integrate it into detection systems.
• Monitor, update, and enhance models against evolving threats and adversarial evasion techniques to ensure ongoing effectiveness in protecting against evolving attacks.