Yobi is hiring: Machine Learning Engineer - Inference / Serving 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
As a Machine Learning Engineer focused on Inference and Serving at Yobi , you’ll design, optimize, and operate the systems that bring our Behavioral AI models to life in real time. You’ll work at the core of our production environment, turning trained models into performant, reliable, and continuously improving services that power our open-web and CTV products.
This is an applied ML systems role—equal parts engineering depth, deployment craft, and model intuition. You’ll shape how models are packaged, versioned, rolled out, and observed across environments, ensuring every prediction is fast, accurate, and accountable.
What it takes to succeed in this role:
Deep expertise in model deployment. You’ve built or scaled production ML serving systems—handling versioning, rollouts, rollback strategies, and live experimentation.
Low-latency mindset. You understand what makes inference fast: model graph optimization, quantization, caching, batching, and efficient feature retrieval.
Systems fluency. You write robust, high-performance code in Go, Rust, C++, or Java, and are comfortable bridging to Python for model integration and analysis.
Operational maturity. You treat inference as a living system—monitoring drift, tracking model lineage, and ensuring observability from input to outcome.
Infrastructure intuition. You know how to make serving systems reproducible and portable without over-engineering them, whether that’s through custom runtime design, model registries, or lightweight orchestration.
Applied ML understanding. You can reason about model performance, interpret trade-offs, and work with researchers to make models more deployable.
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 . We prioritize attitude, culture, and general (technical) fit over matching .
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 remoto o híbrido desde varios centros (SF Bay Area, Seattle, NYC) Equipo de expertos en aprendizaje automático de clase mundial que trabajaron en infraestructuras avanzadas y sistemas recomendadores @ Amazon, Uber, Twitter, Meta, etc. Los equipos de productos 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 Unlimited PTO - nos preocupamos por el impacto, no rastrear días que estás saliendo 401k con la compañía Match % El papel de un ingeniero de máquina enfocado en Inferencia y Servicio en Yobi , lo mejorará rápidamente, optimizarás y llevará a cabo nuestros modelos de diseño e intuición para mejorar nuestro sistema operativo, así como se implementarán continuamente nuestras soluciones de trabajo en una versión abierta, desarrollando sus capacidades de funcionamiento, creatividad e implementación de este modelo en todo tipo de sistemas de tecnología, diseñados en línea, aplicándolos a piezas inteligentes y dispositivos móviles. Usted ha construido o ampliado la producción de sistemas ML que sirven para el manejo de versiones, lanzamientos, estrategias de retroceso y experimentación en vivo. Con una mentalidad de baja latencia. Comprende lo que hace que las inferencias sean rápidas: optimización del gráfico de modelos, cuantificación, almacenamiento caché, lotes y recuperación eficiente de características. Fluidez de los sistemas. Escribe un código robusto y de alto rendimiento en Go, Rust, C++, o Java, y se siente cómodo conectando con Python para integrar y analizar el modelo. Madurez operativa. Trata a la inferencia como un sistema vivo monitoreo, seguimiento de modelos de línea y garantizar la observabilidad desde la entrada hasta el resultado.
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
As a Machine Learning Engineer focused on Inference and Serving at Yobi , you’ll design, optimize, and operate the systems that bring our Behavioral AI models to life in real time. You’ll work at the core of our production environment, turning trained models into performant, reliable, and continuously improving services that power our open-web and CTV products.
This is an applied ML systems role—equal parts engineering depth, deployment craft, and model intuition. You’ll shape how models are packaged, versioned, rolled out, and observed across environments, ensuring every prediction is fast, accurate, and accountable.
What it takes to succeed in this role:
Deep expertise in model deployment. You’ve built or scaled production ML serving systems—handling versioning, rollouts, rollback strategies, and live experimentation.
Low-latency mindset. You understand what makes inference fast: model graph optimization, quantization, caching, batching, and efficient feature retrieval.
Systems fluency. You write robust, high-performance code in Go, Rust, C++, or Java, and are comfortable bridging to Python for model integration and analysis.
Operational maturity. You treat inference as a living system—monitoring drift, tracking model lineage, and ensuring observability from input to outcome.
Infrastructure intuition. You know how to make serving systems reproducible and portable without over-engineering them, whether that’s through custom runtime design, model registries, or lightweight orchestration.
Applied ML understanding. You can reason about model performance, interpret trade-offs, and work with researchers to make models more deployable.
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 . We prioritize attitude, culture, and general (technical) fit over matching .
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 remoto o híbrido desde varios centros (SF Bay Area, Seattle, NYC) Equipo de expertos en aprendizaje automático de clase mundial que trabajaron en infraestructuras avanzadas y sistemas recomendadores @ Amazon, Uber, Twitter, Meta, etc. Los equipos de productos 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 Unlimited PTO - nos preocupamos por el impacto, no rastrear días que estás saliendo 401k con la compañía Match % El papel de un ingeniero de máquina enfocado en Inferencia y Servicio en Yobi , lo mejorará rápidamente, optimizarás y llevará a cabo nuestros modelos de diseño e intuición para mejorar nuestro sistema operativo, así como se implementarán continuamente nuestras soluciones de trabajo en una versión abierta, desarrollando sus capacidades de funcionamiento, creatividad e implementación de este modelo en todo tipo de sistemas de tecnología, diseñados en línea, aplicándolos a piezas inteligentes y dispositivos móviles. Usted ha construido o ampliado la producción de sistemas ML que sirven para el manejo de versiones, lanzamientos, estrategias de retroceso y experimentación en vivo. Con una mentalidad de baja latencia. Comprende lo que hace que las inferencias sean rápidas: optimización del gráfico de modelos, cuantificación, almacenamiento caché, lotes y recuperación eficiente de características. Fluidez de los sistemas. Escribe un código robusto y de alto rendimiento en Go, Rust, C++, o Java, y se siente cómodo conectando con Python para integrar y analizar el modelo. Madurez operativa. Trata a la inferencia como un sistema vivo monitoreo, seguimiento de modelos de línea y garantizar la observabilidad desde la entrada hasta el resultado.