San Francisco, CAUSAgreenhouse2026-08-04
Warum echter KI-Job: The role is fundamentally focused on optimizing compute allocation for LLMs, requiring deep causal inference and data science expertise to improve model performance and user experience. The job description explicitly mentions AI/ML products and large language…
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…
Details Quelle / Bewerbung öffnen
San Francisco HQUSAFullTimeashby2026-07-21
Warum echter KI-Job: The role explicitly focuses on building and evaluating machine learning models for payment risk and fraud detection. The responsibilities heavily emphasize data analysis, model performance monitoring, and translating insights into actionable strategies – all…
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…
Details Quelle / Bewerbung öffnen
Toronto CoworkingUSAgreenhouse2026-06-28
Warum echter KI-Job: The role explicitly focuses on building and deploying statistical/optimization models, designing experiments, and leveraging data to improve products and make business decisions. The responsibilities are heavily centered around core data science tasks.
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. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to s…
Details Quelle / Bewerbung öffnen
Toronto CoworkingUSAgreenhouse2026-06-24
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for a core business function (driver incentives). Responsibilities include model construction, production code, and experiment analysis, indicating a strong AI focus.
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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology compan…
Details Quelle / Bewerbung öffnen
New York, NY (HQ)USAFullTimeashby2026-10-30
Warum echter KI-Job: The role explicitly focuses on building data products, driving insights, and improving decision-making through data analysis. The description highlights model development, experimental design, and working with large datasets – all core Data Science activities.
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 $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing book…
Details Quelle / Bewerbung öffnen
US-CA-Menlo ParkGermanyFullTimeashby2026-10-30
Warum echter KI-Job: The role is explicitly focused on building 'coding agents for working with data' (CoCo team). The description heavily emphasizes AI-native thinking, agentic systems, and building experiences *with* agents. The candidate will define the architecture for an AI-…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…
Details Quelle / Bewerbung öffnen
Toronto OfficeUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on leveraging data science and machine learning to improve mapping products, travel time estimations, and routing algorithms. Responsibilities include designing experiments, analyzing data, and building analytical frameworks – all…
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. As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and design…
Details Quelle / Bewerbung öffnen
US-CA-Menlo ParkUSAFullTimeashby2026-10-30
Warum echter KI-Job: The role is explicitly focused on building 'coding agents' and the 'future of coding agents for working with data'. The team name 'Cortex Code' and the description of the product (CoCo) strongly indicate a core AI/ML focus. The requirements specifically menti…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…
Details Quelle / Bewerbung öffnen
San Francisco, CAUSAgreenhouse2026-10-30
Warum echter KI-Job: The role focuses on data science applied directly to a rapidly scaling AI platform, involving measurement, analysis, and modeling to drive commercial strategy. The company's core business is AI, and the position is deeply embedded within that context.
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…
Details Quelle / Bewerbung öffnen
San Francisco, CAUSAgreenhouse2026-10-30
Warum echter KI-Job: The role is explicitly focused on using data science to support policy work related to AI, analyzing product usage data, and understanding the impact of AI systems. The candidate will apply causal inference and data analysis techniques to inform policy positi…
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…
Details Quelle / Bewerbung öffnen