20 beste Stellen als machine learning engineer in münchen, by – aktuell auf Personalsuche

Software Engineer III, AI/ML, Gemini Integration/Customisation
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- 106.000 € – 109.000 € pro Jahr
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AI Acoustic Engineer (m/f/d) – UAV Localization & Signal Processing
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Ludwig-Maximilians-Universität München —München
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Azure Data Factory & Spark Data Engineer (w|m|d)
BridgingIT GmbH —München
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machine learning engineer jobs near münchen, by

Software Engineer III, AI/ML, Gemini Integration/Customisation

Google -
München

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Details zur Stelle

Vollzeit
106.000 € – 109.000 € pro Jahr

Qualifikationen

Doktorat
Informatik
Datenstrukturen
Forschungserfahrung
Master
Bachelor
Machine Learning
Computerlinguistik
Softwareentwicklung
Künstliche Intelligenz

Vollständige Stellenbeschreibung

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zürich, Switzerland; Munich, Germany.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience in generative AI and machine learning.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Research background with practical experience solving complex research problems such as long-context models and multimodal (video/image) understanding, 3D modeling and diffusion models.
Ideally worked with egocentric data and egocentric problems before.

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.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €106000 - €109000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Lead the integration of Gemini into XR products, design and implement customization layers to enable the next-generation of immersive XR experiences powered by Gemini.
Collaborate with research teams to highlight model limitations and improve performance in key areas critical for XR applications.
Develop expertise on the full deployment stack, to be able to deliver a customized and premium integration of Gemini in XR devices.
Cultivate and maintain relationships with key stakeholders, provide recurring updates on project advancements, ensuring their expectations remain aligned with ongoing research and engineering work.

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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