Sciemo, Inc. is hiring: AI/ML Engineer in New York
Sciemo, Inc., New York, NY, United States
about sciemo
Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire Sales and Operations Planning (S&OP) cycle. From optimizing promotions to balancing demand and supply, Sciemo's platform transforms messy, siloed data into measurable business impact. Its AI agents assist decision-makers in real-time, turning complexity into clarity. We are headquartered in New York City.
overview
We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning, generative AI, agent‑based systems, and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products.
We are looking for a Founding Member of Technical Staff to join our team guiding the development and deployment of complex ML systems reporting to Dan Wald, Co‑Founder & CAIO.
role
As a Founding Member of Technical Staff, you will work in a hybrid capacity as both a Data Scientist and Machine Learning Engineer. You will play a pivotal role in designing, building, and deploying the intelligence behind our AI products. You’ll work across the full spectrum of applied AI—spanning data science, machine learning, and large‑scale production engineering. This hybrid role requires both deep expertise in developing innovative models and the engineering discipline to deploy and maintain them in robust, scalable systems.
You’ll collaborate closely with data engineers, product leads, backend engineers, and customer‑facing teams to ensure that our AI systems deliver measurable value in real‑world environments. As one of the earliest technical hires, you will help define our AI strategy, set technical standards, and establish best practices for applied AI at scale.
responsibilities
Develop and Deploy AI Systems
Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or similar).
Design and implement end‑to‑end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.
Create automated pipelines for continuous learning, model promotion, and performance monitoring.
System Architecture & Reliability
Lead the design of ML orchestration frameworks (Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and scalability.
Oversee deployment of large‑scale and multi‑agent AI systems with high reliability and fault tolerance.
Continuously optimize workflows for efficiency, robustness, and performance in production.
Applied Data Science & Business Impact
Translate complex business problems into AI solutions, including data collection, experiment design, and roadmap planning.
Develop interpretable, modular, and scalable ML systems that deliver measurable business value.
Work directly with customers and stakeholders to ensure deployed systems achieve their intended impact.
Innovation & Thought Leadership
Stay current with advancements in AI/ML, including LLMs, diffusion models, graph AI, and agent architectures.
Propose and prototype new approaches for integrating emerging technologies into production products.
Develop methods to quantify and communicate AI performance and business ROI.
Promote responsible, ethical, and impactful AI practices across the organization.
all about you
Proven track record of launching AI/ML products into production.
Experience with core ML/AI tools: Python, PyTorch, TensorFlow / Keras, scikit‑learn, SQL, Spark.
Experience writing production‑grade Python (object‑ and function‑oriented).
Hands‑on expertise with large‑scale ML systems, GenAI (LLMs, diffusion), agents, and graph‑based models.
Experience designing and managing ML orchestration workflows and versioned pipelines (Airflow, ZenML, Kedro, dbt, etc.).
Strong problem‑solving skills, adaptability, and a hacker mentality.
Excellent communication skills—able to work with both technical and non‑technical stakeholders.
Demonstrated thought leadership and innovation in applied AI.
benefits & perks
Check out our one pager!
location
Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.
interview round
Phone Screen
Peer Interview
Founders' Interview
equal opportunity employer
We are an equal opportunity employer and consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We actively encourage diversity, inclusion, and equitable hiring practices.
If you require accommodations during the hiring process, please reach out to our recruitment team at join@sciemo.ai
#J-18808-Ljbffr
In Summary: Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions . We are looking for a Founding Member of Technical Staff to join our team guiding the development and deployment of complex ML systems . You will play a pivotal role in designing, building, and deploying the intelligence behind our AI products .
En Español: Sciemo construye IA para bienes de consumo: tecnología que ayuda a las empresas a tomar decisiones más rápidas, inteligentes y humanas en todo el ciclo de Planificación de Ventas y Operaciones (S&OP). Desde la optimización de promociones hasta el equilibrio entre demanda y oferta, la plataforma de Sciemo transforma los datos desordenados y aislados en un impacto comercial medible. Sus agentes de IA ayudan a los tomadores de decisiones en tiempo real, convirtiendo la complejidad en claridad. Tenemos su sede en Nueva York City. Este papel híbrido requiere tanto una profunda experiencia en el desarrollo de modelos innovadores como la disciplina de ingeniería para implementarlos y mantenerlos en sistemas robustos y escalables. Como uno de los primeros empleados técnicos, ayudará a definir nuestra estrategia de IA, establecer estándares técnicos y establecer las mejores prácticas para la IA aplicada en escala. Responsabilidades Desarrollar e implementar sistemas AI Arquitecto, construir y desplegar productos ML/GenAI en infraestructura de nube (AWS o similares). Diseñar e implantar flujos de trabajo end-to-end de IA: ingestión de datos, ingeniería de características, modelado, evaluación y implementación. Crear tuberías automatizadas para el aprendizaje continuo, promoción de modelos y monitoreo del rendimiento. Sistemas de Inteligencia Artificial Sanitaria y Confiabilidad SQL Permite diseñar y implementar marcos de arquitectura artificial (Airflow, Kedro, ZenML, Flyte) para garantizar su reproducibilidad y tensión. Supervisar el despliegue de sistemas de gran escala y multiagentes con alta fiabilidad y tolerancia. Proponer soluciones eficiencias continuas, robustez de los procesos de producción, desarrollo de conocimientos avanzados y capacidades experimentales de gestión de los problemas relacionados con la tecnología de inteligencia artificial que se desarrollan directamente entre sí. Somos un empleador de igualdad de oportunidades y consideramos a los solicitantes sin tener en cuenta el género, la identidad sexual, la orientación sexual, raza, etnia, discapacidad, estatus de veterano o cualquier otra característica protegida por la ley. Fomentamos activamente la diversidad, inclusión y prácticas equitativas de contratación. Si necesita alojamiento durante el proceso de selección, comuníquese con nuestro equipo de reclutamiento en join@sciemo.ai #J-18808-Ljbffr.
Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire Sales and Operations Planning (S&OP) cycle. From optimizing promotions to balancing demand and supply, Sciemo's platform transforms messy, siloed data into measurable business impact. Its AI agents assist decision-makers in real-time, turning complexity into clarity. We are headquartered in New York City.
overview
We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning, generative AI, agent‑based systems, and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products.
We are looking for a Founding Member of Technical Staff to join our team guiding the development and deployment of complex ML systems reporting to Dan Wald, Co‑Founder & CAIO.
role
As a Founding Member of Technical Staff, you will work in a hybrid capacity as both a Data Scientist and Machine Learning Engineer. You will play a pivotal role in designing, building, and deploying the intelligence behind our AI products. You’ll work across the full spectrum of applied AI—spanning data science, machine learning, and large‑scale production engineering. This hybrid role requires both deep expertise in developing innovative models and the engineering discipline to deploy and maintain them in robust, scalable systems.
You’ll collaborate closely with data engineers, product leads, backend engineers, and customer‑facing teams to ensure that our AI systems deliver measurable value in real‑world environments. As one of the earliest technical hires, you will help define our AI strategy, set technical standards, and establish best practices for applied AI at scale.
responsibilities
Develop and Deploy AI Systems
Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or similar).
Design and implement end‑to‑end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.
Create automated pipelines for continuous learning, model promotion, and performance monitoring.
System Architecture & Reliability
Lead the design of ML orchestration frameworks (Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and scalability.
Oversee deployment of large‑scale and multi‑agent AI systems with high reliability and fault tolerance.
Continuously optimize workflows for efficiency, robustness, and performance in production.
Applied Data Science & Business Impact
Translate complex business problems into AI solutions, including data collection, experiment design, and roadmap planning.
Develop interpretable, modular, and scalable ML systems that deliver measurable business value.
Work directly with customers and stakeholders to ensure deployed systems achieve their intended impact.
Innovation & Thought Leadership
Stay current with advancements in AI/ML, including LLMs, diffusion models, graph AI, and agent architectures.
Propose and prototype new approaches for integrating emerging technologies into production products.
Develop methods to quantify and communicate AI performance and business ROI.
Promote responsible, ethical, and impactful AI practices across the organization.
all about you
Proven track record of launching AI/ML products into production.
Experience with core ML/AI tools: Python, PyTorch, TensorFlow / Keras, scikit‑learn, SQL, Spark.
Experience writing production‑grade Python (object‑ and function‑oriented).
Hands‑on expertise with large‑scale ML systems, GenAI (LLMs, diffusion), agents, and graph‑based models.
Experience designing and managing ML orchestration workflows and versioned pipelines (Airflow, ZenML, Kedro, dbt, etc.).
Strong problem‑solving skills, adaptability, and a hacker mentality.
Excellent communication skills—able to work with both technical and non‑technical stakeholders.
Demonstrated thought leadership and innovation in applied AI.
benefits & perks
Check out our one pager!
location
Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.
interview round
Phone Screen
Peer Interview
Founders' Interview
equal opportunity employer
We are an equal opportunity employer and consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We actively encourage diversity, inclusion, and equitable hiring practices.
If you require accommodations during the hiring process, please reach out to our recruitment team at join@sciemo.ai
#J-18808-Ljbffr
In Summary: Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions . We are looking for a Founding Member of Technical Staff to join our team guiding the development and deployment of complex ML systems . You will play a pivotal role in designing, building, and deploying the intelligence behind our AI products .
En Español: Sciemo construye IA para bienes de consumo: tecnología que ayuda a las empresas a tomar decisiones más rápidas, inteligentes y humanas en todo el ciclo de Planificación de Ventas y Operaciones (S&OP). Desde la optimización de promociones hasta el equilibrio entre demanda y oferta, la plataforma de Sciemo transforma los datos desordenados y aislados en un impacto comercial medible. Sus agentes de IA ayudan a los tomadores de decisiones en tiempo real, convirtiendo la complejidad en claridad. Tenemos su sede en Nueva York City. Este papel híbrido requiere tanto una profunda experiencia en el desarrollo de modelos innovadores como la disciplina de ingeniería para implementarlos y mantenerlos en sistemas robustos y escalables. Como uno de los primeros empleados técnicos, ayudará a definir nuestra estrategia de IA, establecer estándares técnicos y establecer las mejores prácticas para la IA aplicada en escala. Responsabilidades Desarrollar e implementar sistemas AI Arquitecto, construir y desplegar productos ML/GenAI en infraestructura de nube (AWS o similares). Diseñar e implantar flujos de trabajo end-to-end de IA: ingestión de datos, ingeniería de características, modelado, evaluación y implementación. Crear tuberías automatizadas para el aprendizaje continuo, promoción de modelos y monitoreo del rendimiento. Sistemas de Inteligencia Artificial Sanitaria y Confiabilidad SQL Permite diseñar y implementar marcos de arquitectura artificial (Airflow, Kedro, ZenML, Flyte) para garantizar su reproducibilidad y tensión. Supervisar el despliegue de sistemas de gran escala y multiagentes con alta fiabilidad y tolerancia. Proponer soluciones eficiencias continuas, robustez de los procesos de producción, desarrollo de conocimientos avanzados y capacidades experimentales de gestión de los problemas relacionados con la tecnología de inteligencia artificial que se desarrollan directamente entre sí. Somos un empleador de igualdad de oportunidades y consideramos a los solicitantes sin tener en cuenta el género, la identidad sexual, la orientación sexual, raza, etnia, discapacidad, estatus de veterano o cualquier otra característica protegida por la ley. Fomentamos activamente la diversidad, inclusión y prácticas equitativas de contratación. Si necesita alojamiento durante el proceso de selección, comuníquese con nuestro equipo de reclutamiento en join@sciemo.ai #J-18808-Ljbffr.