Toronto CoworkingUSAgreenhouse2026-09-04
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying ML models across multiple business-critical areas. The description highlights a strong emphasis on applied ML, model ownership, and collaboration with data scientists to solve complex problems…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic env…
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United StatesUSAgreenhouse2026-09-04
Why this is a real AI job: The role explicitly focuses on building and productionizing ML models for trust and safety, including LLMs and AI agents. The job description details core ML engineering tasks like feature engineering, model training, deployment, and evaluation – all central…
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…
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San FranciscoUSAgreenhouse2026-09-04
Why this is a real AI job: The role is explicitly focused on building and maintaining Generative AI Analytics, data science models (forecasting, ranking, recommendation), and a semantic layer. A significant portion of the time (80%) is dedicated to these tasks.
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…
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Remote USUSAgreenhouse2026-08-31
Why this is a real AI job: The role is explicitly focused on leading a team building and deploying machine learning models for fraud detection. The description highlights the full ML lifecycle, advanced modeling techniques (representation learning, transformers), and integration into p…
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. The Fraud Machine Learning team builds models that power critical decisions during the loan application process, protecting Af…
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US-SeattleUSAgreenhouse2026-08-28
Why this is a real AI job: The role explicitly focuses on building, training, deploying and researching ML models for fraud detection. The description highlights a core focus on ML throughout the entire lifecycle.
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 HQUSAFullTimeashby2026-07-21
Why this is a real AI 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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Any Office or RemoteUSAgreenhouse2026-09-04
Why this is a real AI job: The role explicitly focuses on building, validating, and deploying machine learning models for fraud detection and risk mitigation. The job description heavily emphasizes ML techniques and data science principles as core responsibilities.
In 1999, NASA lost contact with its Mars Climate Orbiter after a 9-month journey from Earth. It began its planned orbital insertion maneuver but went out of radio contact after passing behind Mars. While we may never know whether it was destroyed in the atmosphere or re-entered heliocentric space,…
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Any Office or RemoteUSAgreenhouse2026-09-04
Why this is a real AI job: The role explicitly focuses on building, validating, deploying, and monitoring machine learning models for fraud detection. The job description heavily emphasizes ML experience and technical skills related to data science and model building. The 'Ideally you…
In 1999 NASA lost contact with its Mars Climate Orbiter after a 9 month journey from Earth. It began its planned orbital insertion maneuver but went out of radio contact after passing behind Mars. While we may never know whether it was destroyed in the atmosphere or re-entered heliocentric space, w…
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DeutschlandDeutschlandba_search2026-08-03
Why this is a real AI job: The job title explicitly mentions 'Artificial Intelligence' and 'Data Scientist'. The description suggests a core focus on building and implementing AI-powered fraud solutions.
Consultant Fraud-Solution, Artificial Intelligence (m/w/d) Data Scientist
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San FranciscoUSAFullTimeashby2026-06-17
Why this is a real AI job: The role explicitly focuses on building and deploying AI-powered systems for fraud and abuse detection, utilizing LLMs (GPT-5) and other AI techniques. The core responsibilities revolve around data science and machine learning to solve AI safety problems.
About the Team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-…
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