Start » Senior Staff ML Engineer, GenAI, Google Cloud

Senior Staff ML Engineer, GenAI, Google Cloud at Google

Stanowisko Senior Staff ML Engineer, GenAI, Google Cloud
Opublikowano 11 May 2026
Wygasło 10 Jun 2026
Firma Google
Lokalizacja Mazowieckie | PL
Rodzaj umowy Full Time

Opis stanowiska:

Najnowsze informacje o pracy w Google na stanowisko Senior Staff ML Engineer, GenAI, Google Cloud. If the Senior Staff ML Engineer, GenAI, Google Cloud wolny etat w Mazowieckie odpowiada Twoim kwalifikacjom, prześlij swoje aktualne CV bezpośrednio przez portal Jobkos.

Pamiętaj, że proces rekrutacji wymaga spełnienia określonych wymogów firmy. Mamy nadzieję, że oferta pracy w Google na stanowisko Senior Staff ML Engineer, GenAI, Google Cloud poniżej odpowiada Twoim kwalifikacjom.

Senior Staff ML Engineer, GenAI, Google CloudMiejsce pracy: WarszawaTechnologies we useOperating system
  • Windows
About the project

Google's software engineers develop the Następna-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, you will work on bringing AI to Google Cloud customers and developers around the globe. You will build the Następna generation of AI-powered systems and applications across the full stack of AI from models and APIs, through engineering and agents building blocks, to specialized models and applications.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Your responsibilities
  • Design and build machine learning (ML) pipelines. Evaluate, integrate, and optimize ML models and agentic workflows.
  • Lead the design of generative AI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
  • Design, develop, test, deploy, maintain, and enhance large-scale AI-powered platforms and applications.
  • Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
Our requirements
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in Software Development.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
  • Experience in testing and launching scalable software products.
Optional
  • Master's degree in Computer Science or other technical field.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Experience with GenAI techniques (e.g., LLMs, multimodal, large vision models) or with GenAI-related concepts (e.g., evaluations, language modeling, computer vision).
Benefits
  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • fruits
  • corporate products and services at discounted prices
  • integration events
  • dental care
  • corporate gym
  • corporate sports team
  • retirement pension plan
  • saving & investment scheme
  • corporate library
  • no dress code
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone
  • extra social benefits
  • meal passes
  • redeployment package
  • employee referral program
  • opportunity to obtain permits and licenses
  • charity initiatives
  • extra leave

Szczegóły oferty:

  • Firma: Google
  • Stanowisko: Senior Staff ML Engineer, GenAI, Google Cloud
  • Miejsce pracy: Mazowieckie
  • Kraj: PL

Jak złożyć aplikację:

Po zapoznaniu się z kryteriami i wymaganiami opisanymi w informacjach o pracy Senior Staff ML Engineer, GenAI, Google Cloud at the office Mazowieckie powyżej, niezwłocznie przygotuj dokumenty aplikacyjne, takie jak list motywacyjny, CV, kopię dyplomu oraz inne załączniki. Wyślij aplikację, klikając 'Następna strona' poniżej.

Następna strona »

Podobne oferty pracy

  Agregator ofert pracy 2026
O nas
Polityka prywatności
Wyłączenie odpowiedzialności
Regulamin
Kontakt
Zgłoś Feed XML

© Jobkos

  Korzystając z serwisu Jobkos, akceptujesz poniższy regulamin i warunki świadczenia usług.
Stworzone przez Jobkos | | | |