San Francisco, CaliforniaUSAgreenhouse2026-10-24
Why this is a real AI job: The role explicitly focuses on building data-driven products, applying ML in production, and working with data science areas like forecasting and user behavior analysis. The candidate will be a key contributor to the company's AI platform and data strategy.
P-191 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 infrastructure platform, so our customers can focus on the high value chal…
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San Francisco, CAUSAgreenhouse2026-10-24
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning systems for account abuse detection, a core AI application. The job description details tasks related to model training, evaluation, productionization, and feature engineering.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
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London, UKUSAgreenhouse2026-10-24
Why this is a real AI job: The role explicitly focuses on applying LLMs (Claude) to improve clinical trial design, analysis, and drug repurposing. Responsibilities include building and validating AI-powered tools and infrastructure. The core of the job is leveraging AI to solve problem…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
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Anthropic · New York City, NY, San Francisco, CA
90/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-10-24
Why this is a real AI job: The role is explicitly focused on applying and advising on LLMs (Claude) within the life sciences and biotech industries. Responsibilities include building applications, designing architectures, creating evaluation frameworks, and working directly with startu…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
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São PauloUSAFullTimeashby2026-10-24
Why this is a real AI job: The role is explicitly focused on deploying and supporting Generative AI solutions for customers, requiring deep technical expertise with the OpenAI API and a strong understanding of AI use cases. The primary responsibility is to drive AI adoption and build A…
About the Team The Partner Applied AI Engineer team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mi…
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San FranciscoUSAFullTimeashby2026-10-24
Why this is a real AI job: The role explicitly focuses on leading a data science team to optimize revenue, pricing, and subscription systems using experimentation and causal inference. The core responsibilities are deeply rooted in data science and its application to financial engineer…
About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to…
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Singapore LocationsUSAgreenhouse2026-09-10
Why this is a real AI 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
Why this is a real AI 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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SoFi · CA - San Francisco
90/100
CA - San FranciscoUSAgreenhouse2026-09-10
Why this is a real AI 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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AmsterdamGermanygreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on building and scaling ML models for regulatory reporting, requiring end-to-end ML lifecycle management and advanced statistical modeling. The description highlights core AI/ML tasks.
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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