20 beste Stellen als ai, senior/staff forward deployed machine learning engineer munich in gräfelfing, by – aktuell auf Personalsuche

Forward Deployed Engineer - Munich
OpenAI —München
- 220.000 € – 280.000 € pro Jahr
- Vollzeit
- JavaScript
- Mit Reiseanteil
- Python
- Umzugskostenzuschuss
Machine Learning Engineer (m/f/x) - Geospatial AI
osapiens —München
- Hybrides Arbeiten
- AWS
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
Senior AI Engineer (Forward Deployed) (m/f/d)
KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Master
- Bachelor
Machine Learning Scientist
Nucs AI —München
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
Forward Deployed Engineer
Salesforce —München
- Vollzeit
- Informatik
- Salesforce
- Java
Senior Machine Learning Engineer/ Research Scientist
Tools for Humanity —München
- Vollzeit
- Machine Learning
- Python
LCA Consultant - Forward Deployed Engineer | Climate Tech
carbmee GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Master
- Datenbanken
- Künstliche Intelligenz
Direkt bewerben
Machine Learning Engineer
Trimble —München
- Vollzeit
- Informatik
- Bachelor
- Machine Learning
Senior Machine Learning Engineer
Lobster DATA GmbH —München
- Vollzeit
- Azure
- AWS
- Machine Learning
Senior Staff Engineer Digital Concept (f/m/div)
Infineon Technologies AG —München
- Vollzeit
- Doktorat
- Master
- Montage
Senior Forward Deployed Engineer
Salesforce —München
- Vollzeit
- Informatik
- Salesforce
- DevOps
Forward Deployed Software Engineer - Munich
OpenAI —München
- Vollzeit
- Datenbanken
- Mit Reiseanteil
- APIs
- Umzugskostenzuschuss
Senior Robotics & Machine Learning Engineer (m/f/d)
Quantum-Systems GmbH —München
- Vollzeit
- C++
- Bachelor
- Machine Learning
Direkt bewerben
11 Tage
Forward Deployed Engineer (m/f/d)
KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Master
- Bachelor
Machine Learning Engineer (M/W/D)
PAYBACK GmbH —München
- Englisch
- Analysefähigkeit
- Machine Learning
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Forward Deployed Engineer - FDE (Fullstack)
Databricks —München
- Azure
- AWS
- Mit Reiseanteil
Forward-Deployed Engineer (f/m/d)
Zeit AI (YC S24) —München
- 70.000 € – 230.000 € pro Jahr
- Vollzeit
- CRM-Software
- Informatik
- Wirtschaft
- Empfehlungsprogramm
Direkt bewerben
4 Tage
Senior Frontend Engineer (m/f/d) – Munich
Impower GmbH —München
- Vollzeit
- Systemdesign
- Java
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Researcher - Quantum Machine Learning & Quantum Information
Terra Quantum —München
- Informatik
- Machine Learning
- Ohne Hochschulabschluss
Senior Deep Learning Engineer (m/f/d)
Omegga —München
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben

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ai, senior/staff forward deployed machine learning engineer munich jobs near gräfelfing, by

Forward Deployed Engineer - Munich

OpenAI -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
220.000 € – 280.000 € pro Jahr

Leistungen

Umzugskostenzuschuss

Qualifikationen

JavaScript
Python

Vollständige Stellenbeschreibung

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

Own technical delivery across multiple deployments from first prototype to stable production

Build full-stack systems that deliver customer value and sharpen how we learn

Embed closely with customer teams, understand their needs, and guide adoption of what you build

Scope work, sequence delivery, and remove blockers early

Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

Contribute directly in the code when progress or clarity depends on it

Codify working patterns into tools, playbooks, or building blocks that others can use

Share field feedback that helps Research and Product understand where the models succeed and where they can improve

Keep teams moving through clarity and follow-through

You might thrive in this role if you

Bring 5+ years of engineering or technical deployment experience that includes customer-facing work

Have scoped and delivered complex systems in fast-moving or ambiguous environments

Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks

Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience

Simplify complexity and make fast, sound decisions under pressure

Communicate clearly with engineers, product teams, and customer stakeholders

Spot risks early and adjust without slowing down

Model calm and judgment when the stakes are high

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see

OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement

.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through

this form

. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als ai, senior/staff forward deployed machine learning engineer munich in gräfelfing, by erhalten

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