AI/ML Display Ads Engineer — Scale & Optimize

Socket.dev; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking software engineers for its Mountain View campus to develop next-generation AI-powered products and scalable ML systems. You will work across a range of ML areas, including speech, reinforcement learning, and ML infrastructure, with opportunities to impact billions of users.

Responsibilities include writing code, collaborating through reviews, and contributing to model optimization and data processing. Competitive compensation includes equity and a strong benefits package.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 2 years of software development experience in C++ and Python, or 1 year with an advanced degree.
• 1 year experience with ML infra or related ML fields.
• 1 year experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging).
• Preferred: Master's/PhD in CS or related field; 2 years data structures & algorithms; ML data analysis for large-scale ads; accessible tech development; strong stats and forecasting on large data sets.

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices across technologies.
• Contribute to documentation and educational content and update with product changes.
• Triage issues and debug/resolve impacting hardware, network, or service quality.
• Implement ML-focused solutions, utilize ML infrastructure, and assist model optimization and data processing.

Skills

C++

Python

Speech/Audio

Reinforcement Learning

ML Infrastructure

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

Google is seeking software engineers for its Mountain View campus to develop next-generation AI-powered products and scalable ML systems. You will work across a range of ML areas, including speech, reinforcement learning, and ML infrastructure, with opportunities to impact billions of users.

Responsibilities include writing code, collaborating through reviews, and contributing to model optimization and data processing. Competitive compensation includes equity and a strong benefits package.