8 beste Stellen als large language model in zürich, zh – aktuell auf Personalsuche

Staff Software Engineer, AAI Research
Google —Zürich, ZH
- 100%
- Bachelor
- Ohne Hochschulabschluss
- Python
4 Std.
Innovation Manager – Data, AI & Platform Engineering
Globalance Bank AG —Zürich, ZH
- 100%
- Englisch
- Master
2 Tage
Software Engineer III, Machine Learning, Search Intelligence
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
7 Tage
Tax Manager - European Customer Taxes
Interactive Brokers —Zug, ZG
- Microsoft Excel
- Englisch
- Analysefähigkeit
Software Engineer III, Infrastructure
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
9 Tage
Software Engineer III, Data Engineering Console
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
Senior Big Data System Engineer (Platform Engineer)
EPAM Systems, Inc. —Zürich, ZH
- Management-Erfahrung
- Englisch
- Java
- Eltern-/Erziehungsurlaub
- Pensionskasse
(Senior) Software Systems Engineer Web Security
Open Systems AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Informatik
- Englisch
- C++
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Innovation Manager – Data, AI & Platform Engineering
Globalance Bank AG —Zürich, ZH
Soeben wurden wir von der Bilanz zur besten Privatbank der Schweiz erkoren. Globalance befindet sich in einer spannenden Expansionsphase.
2 Tage
Technical Product Manager QVAC - 100% remote
Tether Operations Limited —Zürich, ZH
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Are you ready to be part of the future?

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Staff Software Engineer, AAI Research

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 4 Stunden

Leistungen

Unterkunft

Qualifikationen

Google Cloud Platform
Bachelor
Python

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor's degree or equivalent practical experience
8 years of experience working with Large Language Models (LLMs) and building agents.

Preferred qualifications:

Solid understanding of essential concepts such as tokens, context, Retrieval-Augmented Generation (RAG), and function calling.
Strong understanding of data and familiarity with basic statistical analysis concepts (e.g., variance, p-value, bias) and general data science principles.
Solid understanding of core ML concepts, training algorithms, and best practices for evaluation.
Familiarity with running quality interactions, involving understanding business goals, defining technical metrics, implementing evaluation frameworks, designing experiments, analyzing results, performing RCAs, formulating hypotheses, and conducting ablation or live experiments.
Proficiency in Python.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 be responsible for quality of next-generation AI agents and driving improvements through continuous quality iterations, improving existing and delivering new capabilities to Cloud customers. You will deliver robust, production-ready agentic systems by leading the engineering of the ML quality feedback loop.

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

Execute quality iterations on reference agents identifying potential model or agent framework improvements.
Source or facilitate creation of datasets for evaluation and training to improve model performance for Cloud customers.
Design new agentic systems and context engineering algorithms, utilizing existing models and identifying the need for new training/evaluation objectives where necessary.
Define and implement metrics that correspond to business problems.
Prototype and iterate on the solution working closely with customers, product management and business development.

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.

Jetzt bewerben

Erweiterte Suche

large language model Jobs in zürich, zh

Staff Software Engineer, AAI Research

Innovation Manager – Data, AI & Platform Engineering

Software Engineer III, Machine Learning, Search Intelligence

Tax Manager - European Customer Taxes

Software Engineer III, Infrastructure

Software Engineer III, Data Engineering Console

Senior Big Data System Engineer (Platform Engineer)

(Senior) Software Systems Engineer Web Security

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