4 beste Stellen als lead software engineer (python) – aktuell auf Personalsuche

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Software Engineer III, AI/ML Shopping Creator, YouTube

YouTube -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 20 Stunden

Leistungen

Unterkunft

Qualifikationen

Testautomatisierung
Master
Analysefähigkeit
C++
Bachelor
Softwareentwicklung
Python
Debugging

Vollständige Stellenbeschreibung

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.
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 Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Experience in B2C or e-commerce software.
Experience in debugging and resolving system issues, and addressing technical debt.
Experience building scalable test automation frameworks for complex, AI systems.
Experience in C++ and Python.
Deep understanding of ML/LLM systems.
Strong analytical skills to interpret quality metrics, identify regression patterns, and drive data-informed modeling decisions.

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.

In YouTube Shopping Creator, we leverage advanced infrastructure to empower creators in producing high-quality, shopping-enabled content. A key business priority is expanding the creator and shopping content and driving active engagement with shopping features.

Our mission is to enable creators to launch and scale their Shopping journey through seamless activation, intelligent matchmaking, and data-driven inspiration.

As a team, we drive growth by owning the Activation and Inspiration Critical User Journey's. Beyond onboarding, we create and leverage Creator Profiles and AI/ML predictive modeling to provide actionable insights, helping creators discover the best merchants, lucrative offers, and relevant products for their audience.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

Lead the design and development of innovative ML/AI-driven models and features.
Architect and build systems that deeply integrate LLMs and other AI technologies to provide intelligent recommendations.
Drive integrations across multiple product partners, lead by strong collaborations and partnerships.
Collaborate closely with Product Managers, UX Designers, Data Scientists, and other engineering teams to define and deliver the roadmap for ML/AI capabilities.
Foster a collaborative environment.

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.

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