USUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models, statistical analysis, and data products to drive business decisions across multiple teams. The description highlights a strong emphasis on AI/ML techniques as a core function.
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…
Details Quelle / Bewerbung öffnen
Canada LocationsUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models, statistical analysis, and data-driven decision making across various business functions. The description highlights the use of AI techniques as a core component of the job.
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…
Details Quelle / Bewerbung öffnen
Stripe · US-NYC, US-Seattle, US-SF-HQ
95/100
US-NYC, US-Seattle, US-SF-HQUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for fraud detection, risk assessment, and data analysis. The responsibilities heavily emphasize statistical modeling, predictive analytics, and data science techniques. The candidat…
Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start…
Details Quelle / Bewerbung öffnen
CA-TorontoUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for fraud detection, risk assessment, and data analysis. The responsibilities heavily emphasize statistical modeling, predictive analytics, and experimentation – all core AI/ML acti…
Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start…
Details Quelle / Bewerbung öffnen
Brex · San Francisco, CA, São Paulo
95/100
San Francisco, CA, São PauloUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on the entire machine learning lifecycle, from model conception to production and monitoring, with a clear emphasis on applying these models to solve business problems related to risk and customer experience. The requirements stron…
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…
Details Quelle / Bewerbung öffnen
Brex · San Francisco, CA, São Paulo
95/100
San Francisco, CA, São PauloUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on the entire machine learning lifecycle, from conception to production and monitoring, with a clear emphasis on building and deploying AI/ML solutions to solve business problems. The requirements strongly emphasize technical skill…
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…
Details Quelle / Bewerbung öffnen
DublinGermanygreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on researching, prototyping and shipping machine learning features for MongoDB's core server, query engine and Atlas. The job description details a strong emphasis on ML model development, productionization, and impact measurement.
As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature roll…
Details Quelle / Bewerbung öffnen
Remote - IndiaUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building AI/ML capabilities, LLM orchestration, and data-driven personalization. The responsibilities and qualifications heavily emphasize ML/AI expertise and experience.
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work ,…
Details Quelle / Bewerbung öffnen
Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on developing and launching machine learning models for core business functions like recommendations. The job description heavily emphasizes ML workflows, model building, and data analysis. The required experience clearly points to…
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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Details Quelle / Bewerbung öffnen
Toronto CoworkingUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights experience with LLMs and translating research into production systems. Responsibilities are heavily weighted towar…
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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Details Quelle / Bewerbung öffnen