ML Software Engineer Jobs at Google with Visa Sponsorship

INTRODUCTION

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.

As an AI/Machine Learning Software Engineer in the team, you will play a key role in improving Chrome's agentic capabilities' quality and building Gemini in Chrome features. Additionally, you will be responsible for writing test plans and automated tests, root-causing and fixing bugs, and deploying experiments.

Chrome is dedicated to building a better, more open web. We’re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way. Chrome is available across all major platforms — iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.

ROLE AND RESPONSIBILITIES

• Build, tune, and improve ML models for vertical integrations.
• Employ a wide variety of approaches to improve the model such as prompt engineering, agent orchestration and post-training.
• Contribute to creating testing evaluation datasets and autoraters to help us hill-climb and push the frontiers of what Gemini can do in Chrome.
• Run live experiments, deploying models in production, and using experimental results to improve model performance.
• Collaborate with product managers, User Experience (UX) designers, and other engineers to turn requirements into technical solutions.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in C++ or Python.
• 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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

PREFERRED QUALIFICATIONS

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with feature engineering and analyzing data for building ML models.
• Experience using ML tools to improve the product.

COMPENSATION

The US base salary range for this full-time position is $174,000-$252,000 + 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.