AI Job Radar

Machine Learning Engineer

Machine Learning Engineer: Jobs, Skills und Lernpfad im AI Job Radar.

Machine Learning Engineer

Dieser Karrierepfad zeigt typische Anforderungen, passende Skills, Lernschritte und aktuelle Jobbeispiele.

  1. Rollenanforderungen verstehen
  2. Skill-Lücken mit Kursen und Projekten schließen
  3. Bewerbung gegen konkrete Stellenanzeige prüfen
80
Treffer
26
Unternehmen
95.2
Durchschn. Score
31
Remote

10 Treffer auf dieser Seite. Insgesamt 80 Treffer. Weitere Treffer sind über die Seitennavigation, Firmen-, Skill- und Jobdetailseiten erreichbar.

Mountain View, CA (HQ)USAgreenhouse2026-06-08

Warum echter KI-Job: Die Rolle ist klar auf die Entwicklung und Optimierung von LLM-basierten Agenten, Reinforcement Learning, Evaluationsrahmen und agilen Architekturen ausgerichtet. KI ist der überwiegende Kern der Tätigkeit, sowohl in Forschung als auch in Produktionsumgebung.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

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San Francisco, CAUSAgreenhouse2026-06-08

Warum echter KI-Job: Die Rolle ist eindeutig auf führende Forschung in KI, insbesondere in Generative AI, Agenten und RL-Systemen ausgerichtet. Die Aufgaben beinhalten die Leitung einer Forschungsgruppe, die Entwicklung von Forschungsroadmaps und die Umsetzung von Prototypen in r…

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontie…

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San Francisco, CAUSAgreenhouse2026-06-04

Warum echter KI-Job: Die Rolle ist zentral auf die Entwicklung und Forschung von Evaluationsmethoden fuer LLMs ausgerichtet. Die Aufgaben beinhalten die Gestaltung von Benchmarks, die Entwicklung von Metriken, die Implementierung skalierbarer Pipelines und die Veröffentlichung vo…

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigoro…

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Principal Machine Learning Engineer, App SW

Wayve · Sunnyvale, California USA

98/100
Sunnyvale, California USAUKgreenhouse2026-05-28

Warum echter KI-Job: Die Rolle eines Principal ML Engineers bei Wayve ist klar auf die Entwicklung und Bereitstellung leistungsstarker, robusten und generalisierbaren ML-Modelle für autonome Fahrzeuge ausgerichtet. Die Aufgaben umfassen die gesamte Kette von Modellarchitektur, Da…

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…

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Sr. Machine Learning Engineer

Databricks · San Francisco, California

98/100
San Francisco, CaliforniaUSAgreenhouse2026-05-26

Warum echter KI-Job: Die Rolle eines Senior Machine Learning Engineers bei Databricks ist stark auf die Entwicklung und Bereitstellung von GenAI-Produkten ausgerichtet. Die Aufgaben beinhalten die Entwicklung von LLMs, die Gestaltung von AI-Features, die Erstellung von ML-Pipelin…

P-1131 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products ar…

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USUSAgreenhouse2026-10-31

Warum echter KI-Job: The role explicitly focuses on designing, building, training, deploying and owning ML models in production. The entire job description revolves around applying machine learning to financial data.

Who we are About the team Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal f…

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USUSAgreenhouse2026-10-31

Warum echter KI-Job: The role is explicitly focused on building and leading machine learning systems for abuse prevention, encompassing model development, data pipelines, and production deployment. The description heavily emphasizes ML techniques (LLMs, graph models, sequence mod…

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase th…

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CA-TorontoUSAgreenhouse2026-10-31

Warum echter KI-Job: The role explicitly focuses on developing and deploying machine learning systems, foundation models, and ML models for core business functions like fraud detection and predicting user behavior. The requirements clearly indicate a need for deep ML expertise.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase th…

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Canada LocationsUSAgreenhouse2026-10-31

Warum echter KI-Job: The role explicitly focuses on building and leading a team dedicated to an 'AI Conversation Platform', developing LLM-based systems (RAG), and shipping ML models into production. The job description heavily emphasizes technical leadership in the AI/ML space.

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new busines…

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PhD Data Scientist, Intern

Stripe · US-NYC, US-Seattle, US-SF-HQ

95/100
US-NYC, US-Seattle, US-SF-HQUSAgreenhouse2026-10-31

Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for fraud detection, risk assessment, and data analysis. The responsibilities heavily emphasize statistical modeling, predictive analytics, and data science techniques. The candidat…

Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start…

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