Senior Software Engineer, AI/ML, Ads Bidding Optimization

Google

New York, NY

Full Time

Senior

166k-244k

3 days ago

Job Description

About the Role

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 handle information at massive scale and extend beyond web search, encompassing areas such as information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. As a software engineer, you will work on specific projects critical to Google's needs with opportunities to switch teams and projects as the business evolves. You will be involved in the full machine learning model lifecycle, from design and training to deployment and serving models in production at scale, collaborating with other teams to test and implement the latest technologies in models and infrastructure.

Key Responsibilities

Write and test product or system development code.
Contribute to code health, automation, and alerting systems to ensure model stability and performance.
Improve and simplify models through advanced machine learning techniques, improving quality, stability, and efficiency across the entire model lifecycle—from concept to deployment.
Solve machine learning related problems by designing, running, and analyzing experiments using statistical methods.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience with software development in C++ and Python, and with data structures/algorithms.
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 one or more of the following: Speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Nice to Have

Master's degree or PhD in Computer Science or related technical field.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
Experience with Machine Learning algorithms and tools (e.g., TensorFlow, Pytorch, Keras).

Qualifications

Bachelor's degree or equivalent practical experience.

Benefits & Perks

US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits.
Salary ranges are determined by role, level, and location, with individual pay influenced by work location, skills, experience, and education.
Additional benefits include bonus, equity, and other perks as detailed by Google.

Working at Google

Google values versatility, leadership qualities, enthusiasm for new problems, and innovation. Engineers are encouraged to bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, natural language processing, UI design, and mobile development. The company fosters a fast-paced environment where employees can grow and evolve by working on impactful projects and collaborating across teams.

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