20 melhores vagas de senior software engineer ai/ml, content safety applications para interlagos, sp (Contratando agora!)

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Senior Software Engineer AI/ML, Content Safety Applications

Google -
São Paulo, SP

Candidate-se Agora

Detalhes da vaga

Há 4 dias

Qualificações

CSS
Desenvolvimento Full Stack
Inglês
Java
C++
Graduação
JavaScript
Deep learning
Desenvolvimento de Software
Inteligência artificial
Liderança
Python
HTML

Descrição completa da vaga

Please submit your resume in English - we can only consider applications submitted in this language.

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 with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
3 years of experience testing, maintaining, or launching software products.
1 year of experience with software design and architecture.

Preferred qualifications:

Experience with the LLM ecosystem or Agentic Frameworks.
Experience with Generative AI technologies and their associated risks and opportunities.
Knowledge of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and generative AI.
Familiarity with the machine learning development lifecycle, including data pre-processing, model training, evaluation, and deployment.
Familiarity with trust and safety, content safety, or responsible AI domains, with an understanding of adversarial dynamics, content moderation tests, or similar safety-adjacent fields.

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.

As part of a global team, you will lead the full lifecycle of projects that protect Google's users and business-critical products, including our latest generative AI experiences. You will be responsible for designing, building, and scaling the next generation of our threat intelligence and content safety solutions.

You will be accountable for delivering high-quality, future-proof and performing infrastructure, and your work will protect users from exposure to offensive, sensitive or potentially harmful content. You will be joining our existing team in São Paulo, contributing to the success of Content Safety engineers working in Agents, Classifiers and Applied AI efforts.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

Develop the infrastructure for running AI-based protections/classifiers, from initial problem definition and data acquisition through to model configuration, deployment, and long-term maintenance.
Collaborate effectively with cross-functional and cross-regional (San Francisco/Dublin) teams of software engineers, product managers, and business stakeholders to deliver impactful safety solutions.
Stay current with the latest advancements in AI research, translating new techniques into practical applications for real-world safety issues.
Contribute to the team's technical strategy and architecture, helping to guide our approach to building scalable AI features and infrastructure.

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.

Candidate-se Agora

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