Software Engineer III, AI/ML, Cloud

7 dni temu

Warszawa, Mazovia, Polska Google Pełny etat 80 000 zł - 160 000 zł rocznie
info_outlineXNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Warsaw, Poland; Kraków, Poland.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience working with Generative AI, Vertex AI and Generative AI Agent.
  • 1 year 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.
  • 1 year 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.
  • 2 years of experience with data structures or algorithms.
  • Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
  • Experience building scalable end-to-end software architectures that use agentic or GenAI driven capabilities.
  • Experience with Vertex Search.
  • Understanding of responsible AI practice.



About the jobGoogle'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.
In this role, as part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using Artificial Intelligence (AI) and Machine Learning (ML). You will work with Product Development and Technical Sales teams as a Generative AI subject matter expert to bring Google Cloud AI products to customers and partners. You will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Responsibilities
  • Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
  • Provide AI expertise to support the technical relationship with Google's customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
  • Support developers, creators, and enterprises to leverage Google's Generative Language APIs so they can build their own AI products in the future.
  • Travel to customer sites, conferences, and other related events as needed.

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