**Senior AI/ML Software Engineer, YouTube Knowledge**

**Location** : Paris, France

**Experience Level**: Mid

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**Minimum Qualifications**:

* Bachelor's degree or equivalent practical experience.
* 5 years of experience with software development in one or more programming languages.
* 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 (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
* 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

**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 developing accessible technologies.

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**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.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

We are working on a variety of issues including infrastructure, complex algorithms, data mining, and machine learning including Large Language Models (LLMs) and GenAI. We process data sets at YouTube scale (billions of users, videos, and watch time hours). We apply those techniques to improve impactful products from YouTube including Home, Search, Recommendations, and vertical experiences (Music, Youth, Gaming, Living Room, etc.). We cover both infrastructure and data quality in all our projects and do a fair number of exploration projects.

Most of our work is directly impacting YouTube's top priorities including responsibility and families Initiatives.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

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**Compensation** : Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

**France**: 104,000 - 106,000 (EUR) + 15% bonus target + equity + benefits.

Learn more about benefits at Google.

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**Responsibilities**

* Write and test product or system development code.
* Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
* Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
* Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
* Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

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**Equal Opportunity Employer**: Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

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**Location Details** :

**Company** : YouTube

**Country** : France

**Experience Level**: Mid