vidIQ builds software to help YouTube creators achieve their goals.
Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools.
We are dedicated to our values of being creator-obsessed, lean and fast, and scientific.
Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.
Imagine a product that reached over a million users without a traditional sales team.
This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential.
That's the opportunity at vidIQ—an infinit Beam, Hadoop, Spark).
+ Knowledge of cloud computing, including virtualization, multi‐tenant infrastructures, and storage systems.
+ Excellent customer‐facing communication and listening skills with expertise in architecting solutions.
***About the job*** The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of Google's global network, web‐scale data centers, and software infrastructure.
As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.
You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
In this role, you will be the Google Engineer working with Google's largest and most ambitious Cloud customers.
Together with the team, you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.




Google Cloud accelerates every organization's ability to digitally transform its business and industry.
We deliver enterprise‐grade solutions that leverage Google's cutting‐edge technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
***Responsibilities*** + Be a trusted technical advisor to customers and solve complex machine learning challenges.
+ Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.
+ Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
+ Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
+ Travel up to 30% in‐region for meetings, technical reviews, and onsite delivery activities.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy (./privacy-policy).
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, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‐to‐be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
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 locationtput as carefully as you'd check a teammate's pull request.
You keep up with the fast-moving AI landscape and like trying new models, tools, and workflows.
Nice to have
Backend experience with Node.js , Scala, and/or Python, plus relational databases, caching, and queues
Experience with Redux, Redux Saga, and/or Zustand
Experience building LLM-powered features, such as streaming UIs, model APIs, prompt design, or evals
Experience with agentic coding workflows, such as running AI agents on multi-step tasks, writing custom rules or context files, or using MCP servers
Perks and Benefits
Work Remotely: Embrace the freedom to choose your ideal workspace anywhere in the world.
Flexible Time Off: We support a adaptable vacation policy allowing you to take time off when you need to recharge.
Communication Stipend: Enjoy a monthly stipend to cover your phone and internet expenses, helping you stay connected effortlessly.
Global Impact: Join our diverse team that's shaping the future of the creator economy across the globe.
Competitive Compensation: vidIQ believes in offering competitive compensation that reflects your skills, experience, and contributions.
We ensure fairness through internal equity and geo-location based pay, with the upper range reserved for individuals demonstrating exceptional job knowledge and skills.
Our Commitment
At vidIQ, we dedicate ourselves to enabling creators of all kinds to succeed.
We prioritize attracting diverse talent and fostering an environment that encourages collaboration, creativity, and personal growth.
We are committed to building a company and a community where individuals thrive by being true to themselves and are inspired to do their best work every day.
Full Stack / Frontend Engineer – Generative AI Remoto Argentina, ID #*****
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