New York City, New YorkUSAgreenhouse2026-05-26
Warum echter KI-Job: Die Rolle befasst sich direkt mit der Entwicklung und Führung von Produkten, die LLM-Endpunkte, Model Serving und AI Governance umfassen. Der Titel und die Beschreibung zeigen klare technische und konzeptionelle KI-Arbeit, insbesondere im Bereich LLM Inferenc…
RDQ127R255 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructu…
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Karnataka, IndiaUSAgreenhouse2026-05-26
Warum echter KI-Job: Die Rolle ist ein klarer Kern-KI-Job, da sie umfassende Verantwortung für die Leitung und Skalierung einer hochspezialisierten AI/ML-Beratungsteams trägt, mit Fokus auf GenAI, ML-Produktionslösungen und strategische AI-Transformationen. Die Aufgaben umfassen…
CSQ327R28 Sr. Manager, AI FDE Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on Ge…
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San Francisco, CaliforniaUSAgreenhouse2026-05-26
Warum echter KI-Job: Die Rolle ist klar auf führende Forschung in GenAI, Modell-Effizienz, Reinforcement Learning und Optimierung von LLMs ausgerichtet. Die Aufgaben beinhalten die Entwicklung neuer Techniken, die den wissenschaftlichen Fortschritt vorantreiben, sowie die Optimie…
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are centra…
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San Francisco, CaliforniaUSAgreenhouse2026-05-26
Warum echter KI-Job: Die Rolle beinhaltet die Führung eines Engineering-Teams, das für die Entwicklung und den Betrieb von Databricks' AI Runtime (AIR) verantwortlich ist, ein Produkt, das speziell für das Training und Feintuning von Deep Learning- und LLM-Modellen mit GPUs entwi…
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform…
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Singapore LocationsUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on building machine learning models, running experiments, and using data to drive growth. The description highlights the application of techniques like ML, statistical modeling, causal inference, and experimentation as core respons…
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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Ireland LocationsUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models, statistical analysis, causal inference, and experimentation to optimize the LPM business. The job description heavily emphasizes data science techniques as core responsibilities.
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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USUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on leading the strategy and execution of ML/AI applications across Stripe's product suite, including infrastructure. The responsibilities are heavily centered around AI technologies like LLMs and agents.
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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San Francisco, CAUSAgreenhouse2026-09-10
Warum echter KI-Job: The role is explicitly focused on building and shipping a product around an 'agentic system' (AI agent) for financial operations. The description details work with LLMs, feedback loops, evaluation, and integration of AI into core business processes.
Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerat…
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SoFi · CA - San Francisco
90/100
CA - San FranciscoUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on developing, implementing, and validating machine learning models for Anti-Money Laundering (AML) compliance. It requires expertise in statistical modeling, data analysis, and model risk management within a financial context.
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first techn…
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New York, NY (HQ)USAFullTimeashby2026-09-10
Warum echter KI-Job: The role explicitly focuses on building and deploying AI applications, including LLMs, AI agents, and infrastructure for model inference and fine-tuning. The description highlights production use cases of AI.
ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing book…
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