Software Engineer III, AI/ML, YouTube Ads

Google; Mountain View (CA); On-site; USD 141,000 - 202,000; Full time

Job summary

A leading company seeks a Software Engineer III for AI/ML in YouTube Ads. The role involves building machine learning systems, developing features for user modeling, and collaborating on state-of-the-art ML techniques. Candidates should have a strong background in software development and machine learning.

Benefits

Bonus

Equity

Benefits

Qualifications

• 2 years experience in software development with C++ and Python.
• 1 year experience in machine learning infrastructure.

Responsibilities

• Build machine learning systems on large data.
• Design and develop features for user modeling and ads.

Skills

C++

Python

Machine Learning

Data Structures

Algorithms

Education

Bachelor’s degree

Master's degree

PhD

Tools

TensorFlow

Adbrain

TPUs

Job description

Software Engineer III, AI/ML, YouTube Ads

corporate_fare Google place Mountain View, CA, USA

Apply

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++ and Python, or 1 year of experience with an advanced degree.
• 2 years of experience with data structures or algorithms.
• 1 year of experience with one or more of the following: Speech/audio technology, reinforcement learning, Machine Learning infrastructure, or specialization in another Machine Learning field.
• 1 year of experience with Machine Learning infrastructure (e.g., model deployment, evaluation, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related fields.
• Experience in scaling machine learning systems and large language or generative models.
• Experience in ads-related prediction models or recommendation systems.

About the job

Google's software engineers develop next-generation technologies that impact billions of users. Our products handle massive-scale information and extend beyond web search. We seek engineers with fresh ideas across various areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, NLP, UI design, and mobile development. As a software engineer, you will work on critical projects with opportunities to switch teams and projects, demonstrating versatility and leadership in a fast-paced environment.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Salary ranges depend on role, level, and location, with individual pay influenced by skills, experience, and education. Your recruiter can provide specific salary details for your location during hiring.

Note: Listed compensation reflects base salary only, excluding bonus, equity, or benefits. Learn more about Google benefits.

Responsibilities

• Build machine learning systems on large data (e.g., billions of YouTube queries).
• Develop expertise in state-of-the-art ML techniques for recommendation systems, ads, and products by collaborating with experienced leaders.
• Design and develop features such as user modeling, ad features, and video features.
• Research and implement novel model architectures, reading papers and deploying solutions.
• Utilize ML tools like TensorFlow, Adbrain, and TPUs.

Google is committed to diversity and equal opportunity employment, fostering a culture of belonging and inclusion across all roles. We value a workforce that reflects our users and provide equal employment opportunities regardless of race, gender, age, disability, or other protected statuses. Learn more about Google's EEO policies and your rights.

English proficiency is required for global collaboration unless specified otherwise. We do not accept unsolicited agency resumes, and are not responsible for fees related to such submissions.