Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON
95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and operating a scalable ML platform, productionizing ML workloads, and supporting data scientists in deploying models. The tech stack heavily emphasizes ML tools and infrastructure.
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…
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Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON
95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and operating a scalable ML platform, productionizing ML workloads, and supporting data scientists. The tech stack heavily emphasizes ML tools and infrastructure.
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…
Details Open source / apply
San Francisco HQUSAFullTimeashby2026-07-31
Why this is a real AI job: The role is explicitly focused on building and leading the technical strategy for foundation models, covering the entire ML lifecycle from data curation to production serving. The job description heavily emphasizes AI/ML expertise and its application to Plaid…
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 Francisco HQUSAFullTimeashby2026-07-31
Why this is a real AI job: The role explicitly focuses on building, deploying, and monitoring machine learning models for credit risk assessment. The job description heavily emphasizes ML techniques and the full model lifecycle.
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 Open source / apply
Robinhood · Menlo Park, CA, New York, NY, Washington, DC
95/100
Menlo Park, CA, New York, NY, Washington, DCUSAgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on building and deploying credit risk models, leveraging data science techniques. The job description details model development lifecycle (data prep to deployment) which is a core AI activity.
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic c…
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Bellevue, WA, Menlo Park, CAUSAgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on building and scaling ML models for core product features (personalization, search, fraud detection). The description highlights advanced AI techniques like LLM fine-tuning and agentic workflows. A significant portion of the job…
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic c…
Details Open source / apply
Remote - IndiaUSAgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on building, deploying, and maintaining machine learning systems in production. The responsibilities are heavily centered around ML engineering tasks like model training, validation, data pipeline construction, and collaboration wi…
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 ,…
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New YorkGlobalgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on leading GenAI/ML initiatives, designing and deploying models at scale, and driving technical direction for AI-powered features. The job description heavily emphasizes practical application of AI/ML techniques.
We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimi…
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New YorkGlobalgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on leading GenAI/ML projects, building and deploying models at scale, and driving initiatives within the APM team. The core responsibilities are heavily centered around AI/ML.
We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize serv…
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Toronto CoworkingUSAgreenhouse2026-07-31
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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