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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Staff Software Engineer, Cloud Applied AI, Agent Building

Requirements:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years 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.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Nice to haves:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a structured organization involving cross-functional, or cross-business projects.

What you'll be doing:

  • Partner directly with select customers to design, co-develop, debug, and deploy AI agents and solutions.
  • Act as a high-level problem solver, write bespoke code, develop custom tooling, and contribute to the core product codebase.
  • Systematize learnings from customer engagements to create reusable tools, documentation, and accelerators.
  • Serve as a feedback loop to core Product and Engineering teams, synthesizing field insights to influence strategy.
  • Provide technical guidance on agent improvement, performance tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and production readiness.

Perks and benefits:

  • Opportunity to work on next-generation technologies that impact billions of users.
  • Versatile role with opportunities to switch teams and projects.
  • Empowered to act like an owner, take action, and innovate.
  • Work on critical projects for Google Cloud.
  • Be part of a fast-paced business that pushes technology forward.
AI Summary ✨
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Google

London, UK

Experience: Staff
Posted: April 20, 2026
Last seen: 16 minutes ago
Gcp
Nodejs
machinelearning

Why we track Google

Google has one of the largest EU engineering presences of any US company. Zurich, London, Munich, and Dublin all run core product work—Search, Maps, YouTube, Cloud. The Zurich office alone is one of their biggest globally. If you want FAANG-level work in Europe, this is one of the best options.

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