Yobi is hiring: Machine Learning Engineer - Applied / Product in New York
Yobi, New York, NY, United States
Yobi is a rapidly growing Behavioral AI company on a mission to ethically democratize the benefits of data and AI .
Since 2019, we have built one of the largest consented behavioral datasets in the United States, extending far beyond the walled gardens of Big Tech. Unlike traditional LLM companies, Yobi builds foundation models of human behavior grounded in real-world actions such as purchases and store visits.
Our private-by-design modeling enables state-of-the-art personalization and decisioning for leading brands and agencies while protecting privacy, safety, and ethics.
Today, we are focused on bringing the performance of closed-web user acquisition to the open web and connected TV , giving brands walled-garden results without the walls.
At our core, Yobi is building the behavioral intelligence layer for any system that makes a personalization decision .
Working at Yobi
We’re at an inflection point—customer adoption is accelerating, but there’s still room to shape the architecture and culture from the ground up. Engineers here own major surface areas , build 0→1 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively.
Highlights:
Well-funded with 5+ years of runway. At the same time, we are scaling revenue quickly and project to be breakeven in 2026.
Partnerships with Microsoft and Databricks
Fully remote or hybrid from several hubs (SF Bay Area, Seattle, NYC)
World-class team of Machine Learning experts who worked on cutting edge infra and recommender systems @ Amazon, Uber, Twitter, Meta, etc.
Product and Go-To-Market teams who have taken ideas from concept to 9 figure revenue streams
Benefits:
Competitive Base Salary
Meaningful equity & financial upside - a real % of the company
Annual bonus target based on personal and company performance
Health, Dental, Vision - most plans will pay little to 0 out of pocket
Unlimited PTO - we care about impact, not tracking days you’re out
401k with company match %
About The Role
At Yobi, Applications teams bring the value in our User-Behavioral foundation models to market, creating scalable, highly profitable products with ML at their heart. These Applications products are key to Yobi success, as they ground the value of our R&D, power continuous experimentation and improvement, and provide significant data for improving our core embeddings.
As an MLE on this team, you will primarily be focused on the models, metrics, pipelines, systems, and services that power and deliver excellence via Yobi Applications products.
This role involves a large degree of 0-to-1 development, and will rely on collaboration with Product, core signals MLEs, and leaning on your own expertise and insight in building holistic ML-powered products. While we currently have a product in the market here, we invite big bets to expand impact and reach.
Significant "wearing your Product hat" is expected, along with driving results in the many domains required to deliver whole ML-powered products - we are a quickly growing startup after all!
What it takes to succeed in this role:
Understanding enough about machine learning to be dangerous but not necessarily published in the field. This means you have worked on and can speak to impactful consumer-facing ML problems, e.g. recommender systems, personalization, etc. that you have directly contributed to.
Skill and attitude wise, you can quickly contribute to the “full stack” of our pipeline. This includes things such as data orchestration, build systems, and experiment tracking. Although we use a combination of open source products like Airflow, Bazel, Github CI/CD, and Spark, prior experience with these specific solutions is not needed. However, a good part of your day to day will involve interacting with these systems, so you should be comfortable with getting your hands dirty.
Good product sense, has opinions on what we should and shouldn’t be doing both in chasing product-market fit and on the implementation side.
We prioritize attitude, culture, and general (technical) fit over matching perfectly into one of our job descriptions. If our mission and work resonates with you, we encourage you to apply. Tell us how you can help drive our products forward, even if you don’t feel like you are a perfect fit for some of the listings.
#J-18808-Ljbffr
In Summary: Yobi builds foundation models of human behavior grounded in real-world actions such as purchases and store visits . Our private-by-design modeling enables state-of-the-art personalization and decisioning for leading brands and agencies while protecting privacy, safety, and ethics . At our core, Yobi is building the behavioral intelligence layer for any system that makes a personalization decision .
En Español: Yobi es una compañía de IA comportamental en rápido crecimiento con la misión de democratizar éticamente los beneficios de datos y inteligencia artificial. Desde 2019, hemos construido uno de los conjuntos de datos conductuales consentidos más grandes de Estados Unidos, que se extiende mucho más allá de los jardines amurallados de Big Tech. A diferencia de las compañías tradicionales de LLM, Yobo construye modelos básicos de conducta humana basados en acciones del mundo real como compras y visitas a tiendas. Colaboraciones con Microsoft y Databricks Completamente remotas o híbridas desde varios centros (SF Bay Area, Seattle, NYC) equipo de expertos en aprendizaje automático de clase mundial que trabajaron en infraestructuras y sistemas recomendadores de vanguardia @ Amazon, Uber, Twitter, Meta, etc. Equipos de producto y Go-To-Market que han tomado ideas del concepto a los flujos de ingresos de 9 cifras Beneficios: Salario base competitivo Equidad significativa y ventaja financiera - un porcentaje real de la empresa Objetivo anual de bonificación basado en el rendimiento personal y empresarial Salud, Odontología, Visión - La mayoría de los planes pagarán poco a 0 de su bolsillo PTO ilimitado - nos preocupamos por el impacto, no rastrear días que estás fuera de 401k con la compañía % El papel En Yobi, equipos de Aplicaciones traen el valor de los productos básicos para el mercado, creando modelos de comportamiento de usuario altamente rentables, escalables, servicios especializados con sus propias aplicaciones. Aunque actualmente tenemos un producto en el mercado aquí, invitamos a grandes apuestas para expandir el impacto y el alcance. Se espera que "usar tu sombrero de producto" sea significativo, junto con resultados impulsores en los muchos dominios necesarios para entregar productos enteros basados en ML - somos una startup que crece rápidamente después de todo! Lo que se necesita para tener éxito en esta función: Entender lo suficiente acerca del aprendizaje automático como para ser peligroso pero no necesariamente publicado en el campo. Esto significa que has trabajado y puedes hablar sobre problemas impactantes frente al consumidor, por ejemplo sistemas recomendadores, personalización, etc., a los cuales has contribuido directamente. Con habilidad y actitud sabia, puedes contribuir rápidamente a la full stack de nuestra tubería sensorial. Cuéntanos cómo puede ayudar a impulsar nuestros productos, incluso si no siente que encaja perfectamente en algunos de los listados. #J-18808-Ljbffr
Since 2019, we have built one of the largest consented behavioral datasets in the United States, extending far beyond the walled gardens of Big Tech. Unlike traditional LLM companies, Yobi builds foundation models of human behavior grounded in real-world actions such as purchases and store visits.
Our private-by-design modeling enables state-of-the-art personalization and decisioning for leading brands and agencies while protecting privacy, safety, and ethics.
Today, we are focused on bringing the performance of closed-web user acquisition to the open web and connected TV , giving brands walled-garden results without the walls.
At our core, Yobi is building the behavioral intelligence layer for any system that makes a personalization decision .
Working at Yobi
We’re at an inflection point—customer adoption is accelerating, but there’s still room to shape the architecture and culture from the ground up. Engineers here own major surface areas , build 0→1 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively.
Highlights:
Well-funded with 5+ years of runway. At the same time, we are scaling revenue quickly and project to be breakeven in 2026.
Partnerships with Microsoft and Databricks
Fully remote or hybrid from several hubs (SF Bay Area, Seattle, NYC)
World-class team of Machine Learning experts who worked on cutting edge infra and recommender systems @ Amazon, Uber, Twitter, Meta, etc.
Product and Go-To-Market teams who have taken ideas from concept to 9 figure revenue streams
Benefits:
Competitive Base Salary
Meaningful equity & financial upside - a real % of the company
Annual bonus target based on personal and company performance
Health, Dental, Vision - most plans will pay little to 0 out of pocket
Unlimited PTO - we care about impact, not tracking days you’re out
401k with company match %
About The Role
At Yobi, Applications teams bring the value in our User-Behavioral foundation models to market, creating scalable, highly profitable products with ML at their heart. These Applications products are key to Yobi success, as they ground the value of our R&D, power continuous experimentation and improvement, and provide significant data for improving our core embeddings.
As an MLE on this team, you will primarily be focused on the models, metrics, pipelines, systems, and services that power and deliver excellence via Yobi Applications products.
This role involves a large degree of 0-to-1 development, and will rely on collaboration with Product, core signals MLEs, and leaning on your own expertise and insight in building holistic ML-powered products. While we currently have a product in the market here, we invite big bets to expand impact and reach.
Significant "wearing your Product hat" is expected, along with driving results in the many domains required to deliver whole ML-powered products - we are a quickly growing startup after all!
What it takes to succeed in this role:
Understanding enough about machine learning to be dangerous but not necessarily published in the field. This means you have worked on and can speak to impactful consumer-facing ML problems, e.g. recommender systems, personalization, etc. that you have directly contributed to.
Skill and attitude wise, you can quickly contribute to the “full stack” of our pipeline. This includes things such as data orchestration, build systems, and experiment tracking. Although we use a combination of open source products like Airflow, Bazel, Github CI/CD, and Spark, prior experience with these specific solutions is not needed. However, a good part of your day to day will involve interacting with these systems, so you should be comfortable with getting your hands dirty.
Good product sense, has opinions on what we should and shouldn’t be doing both in chasing product-market fit and on the implementation side.
We prioritize attitude, culture, and general (technical) fit over matching perfectly into one of our job descriptions. If our mission and work resonates with you, we encourage you to apply. Tell us how you can help drive our products forward, even if you don’t feel like you are a perfect fit for some of the listings.
#J-18808-Ljbffr
In Summary: Yobi builds foundation models of human behavior grounded in real-world actions such as purchases and store visits . Our private-by-design modeling enables state-of-the-art personalization and decisioning for leading brands and agencies while protecting privacy, safety, and ethics . At our core, Yobi is building the behavioral intelligence layer for any system that makes a personalization decision .
En Español: Yobi es una compañía de IA comportamental en rápido crecimiento con la misión de democratizar éticamente los beneficios de datos y inteligencia artificial. Desde 2019, hemos construido uno de los conjuntos de datos conductuales consentidos más grandes de Estados Unidos, que se extiende mucho más allá de los jardines amurallados de Big Tech. A diferencia de las compañías tradicionales de LLM, Yobo construye modelos básicos de conducta humana basados en acciones del mundo real como compras y visitas a tiendas. Colaboraciones con Microsoft y Databricks Completamente remotas o híbridas desde varios centros (SF Bay Area, Seattle, NYC) equipo de expertos en aprendizaje automático de clase mundial que trabajaron en infraestructuras y sistemas recomendadores de vanguardia @ Amazon, Uber, Twitter, Meta, etc. Equipos de producto y Go-To-Market que han tomado ideas del concepto a los flujos de ingresos de 9 cifras Beneficios: Salario base competitivo Equidad significativa y ventaja financiera - un porcentaje real de la empresa Objetivo anual de bonificación basado en el rendimiento personal y empresarial Salud, Odontología, Visión - La mayoría de los planes pagarán poco a 0 de su bolsillo PTO ilimitado - nos preocupamos por el impacto, no rastrear días que estás fuera de 401k con la compañía % El papel En Yobi, equipos de Aplicaciones traen el valor de los productos básicos para el mercado, creando modelos de comportamiento de usuario altamente rentables, escalables, servicios especializados con sus propias aplicaciones. Aunque actualmente tenemos un producto en el mercado aquí, invitamos a grandes apuestas para expandir el impacto y el alcance. Se espera que "usar tu sombrero de producto" sea significativo, junto con resultados impulsores en los muchos dominios necesarios para entregar productos enteros basados en ML - somos una startup que crece rápidamente después de todo! Lo que se necesita para tener éxito en esta función: Entender lo suficiente acerca del aprendizaje automático como para ser peligroso pero no necesariamente publicado en el campo. Esto significa que has trabajado y puedes hablar sobre problemas impactantes frente al consumidor, por ejemplo sistemas recomendadores, personalización, etc., a los cuales has contribuido directamente. Con habilidad y actitud sabia, puedes contribuir rápidamente a la full stack de nuestra tubería sensorial. Cuéntanos cómo puede ayudar a impulsar nuestros productos, incluso si no siente que encaja perfectamente en algunos de los listados. #J-18808-Ljbffr