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Senior Software Developer, AI / Machine Learning, Applied AI

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Senior Software Developer, AI / Machine Learning, Applied AI

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Join to apply for the Senior Software Developer, AI / Machine Learning, Applied AI role at Google

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• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures / algorithms.
• 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 machine learning algorithms, artificial intelligence, deep learning or natural language processing.
• Experience with Language Models, NLP, or Generative AI.
• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures / algorithms.
• 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 machine learning algorithms, artificial intelligence, deep learning or natural language processing.
• Experience with Language Models, NLP, or Generative AI.

Preferred qualifications :

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.

About The Job

Google Cloud's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for software developers 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 developer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers 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.

The financial services industry is the largest worldwide spender on technology. It is also the least well-penetrated in terms of cloud adoption. You will be joining a team focused on delivering solutions to this, untapped market. The Risk Artificial Intelligence (AI) team in Cloud Applied AI is an entrepreneurial team with the intent of driving efficiency and innovation for this technology-dependent, data-hungry industry; focusing on financial crime detection and fighting. We strive to build products that delight users by delivering domain-relevant data platforms, transformational AI applications and cloud-computing services.

The Risk AI Engineering team is at the forefront of innovation. We are building the next generation platform and applications to fight financial crime using Machine Learning and Gen AI technologies.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (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.

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 .

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology and Engineering

Information Services and Technology, Information and Internet

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