Affirm · Remote Canada, Remote US
95/100
Remote Canada, Remote USUSAgreenhouse2026-07-21
Warum echter KI-Job: The role is explicitly focused on leading the design, implementation and scaling of advanced ML systems. The job description details extensive experience with core AI/ML technologies and techniques.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team…
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BangaloreUSAgreenhouse2026-07-21
Warum echter KI-Job: The role explicitly focuses on building and deploying ML models for observability, anomaly detection, and GenAI/LLM applications. It requires strong statistical foundations and production experience with data science solutions.
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global…
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San Francisco HQUSAFullTimeashby2026-07-21
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for payment risk and fraud detection, working across the entire model development lifecycle. The description emphasizes leveraging unique datasets to identify high-impact ML opportu…
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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San FranciscoUSAgreenhouse2026-07-21
Warum echter KI-Job: The role is explicitly focused on leading AI research and enablement, balancing research investment, owning evals strategy, and integrating AI models into a product. The job description heavily emphasizes AI/ML/LLM technologies and their application to the co…
Descript’s vision is to put video in every communicator’s toolkit. Back in the day you needed like six monitors and a bachelor’s degree to edit video. Descript lets you do it by editing docs & slides, and increasingly by just asking AI. In the future, maybe you won’t even need to ask! But building…
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Remote CanadaUSAgreenhouse2026-07-20
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for fraud prediction, requiring extensive experience in ML techniques, data processing, and model lifecycle management. The job description heavily emphasizes core AI/ML tasks.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting…
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Datadog · Boston, New York, Remote - British Columbia
95/100
Boston, New York, Remote - British ColumbiaGlobalgreenhouse2026-07-20
Warum echter KI-Job: The role is explicitly focused on building AI-powered features for APM, including LLMs and agentic workflows. The job description heavily emphasizes the development, productionization, and evaluation of these AI components.
The opportunity Datadog’s APM Experiences team owns the core product experience for Application Performance Monitoring — including distributed tracing, service representation, and more. We’re building a new wave of AI-powered capabilities that help customers detect, resolve, and prevent performance…
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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-07-20
Warum echter KI-Job: The role is explicitly focused on building and scaling ML-powered indexing and retrieval systems, including GenAI applications. It requires deep expertise in ML data ingestion, low-latency retrieval, and lifecycle management. The job description heavily empha…
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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San FranciscoUSAgreenhouse2026-07-20
Warum echter KI-Job: The role explicitly focuses on designing, developing, and deploying machine learning models for a large-scale advertising platform. The job description heavily emphasizes ML/AI skills and their application to core business functions.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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New York, NYSwedenPermanentlever2026-07-19
Warum echter KI-Job: The role explicitly focuses on designing and building generative AI products for music, indicating a core focus on machine learning and its application to the music industry. The description highlights invention of new experiences using AI.
We are seeking a Machine Learning Engineer to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and…
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AmsterdamGermanygreenhouse2026-07-17
Warum echter KI-Job: The role is explicitly focused on researching, implementing, and applying advanced statistical methods for experimentation at scale. The job description heavily emphasizes data science techniques and their direct application to business problems.
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opp…
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