Jack & Jill is hiring: Senior Applied MLE at zaimler.ai in San Mateo
Jack & Jill, San Mateo, CA, United States
Job Title: Senior Applied Machine Learning Engineer
Company: zaimler.ai - Series A context infrastructure for enterprise AI
Location: San Mateo, USA
Job Description: Join a high-caliber team building the missing semantic layer for autonomous agents. Working directly with the Chief Scientist (ex-LinkedIn), you will extract knowledge from fragmented enterprise data and build AI Data Graphs. This role is critical for eliminating AI hallucinations and enabling Fortune 500 companies to deploy reasoning agents at scale using proprietary domain intelligence.
Why this role is remarkable
Work under a founding team of industry veterans, including the former Chief Architect of Visa and the creator of LinkedIn’s massive Skills Graph.
Solve the "hallucination problem" by building context infrastructure that acts as a machine-optimized employee manual for the world's largest enterprises.
Join a fast-moving Series A startup already deploying with Fortune 500 leaders in insurance and travel, offering significant equity and technical ownership.
What you will do
Design and deploy state-of-the-art models to extract structured knowledge and relationships from heterogeneous enterprise data sources.
Fine-tune Large Language Models (LLMs) and Small Language Models (SLMs) with domain-specific context to power real-time inference.
Collaborate with data infrastructure engineers to architect a scalable platform that supports complex AI Data Graphs and semantic search.
The ideal candidate
Holds an MS or PhD in Computer Science or ML with 4+ years of hands‑on experience in NLP, knowledge extraction, or retrieval.
Proven track record of deploying and maintaining ML models in production environments, specifically using tools like spaCy, GLiNER, or vLLM.
Thrives in a fast‑paced startup environment and possesses strong data manipulation skills using Python, NumPy, and Pandas.
#J-18808-Ljbffr
In Summary: The ideal candidate holds an MS or PhD in Computer Science or ML with 4+ years of hands‑on experience in NLP, knowledge extraction, or retrieval . Join a fast-moving Series A startup already deploying with Fortune 500 leaders in insurance and travel .
En Español: Título de trabajo: Senior Applied Machine Learning Engineer Company: zaimler.ai - Serie A de infraestructura contextual para la empresa AI Ubicación: San Mateo, Estados Unidos Descripción del empleo: Únete a un equipo de alto calibre construyendo la capa semántica que falta para los agentes autónomos. Trabajando directamente con el científico jefe (ex-LinkedIn), extraerá conocimientos de datos empresariales fragmentados y construirá gráficos de datos de IA. Este papel es crítico para eliminar alucinaciones de IA y permitir que las compañías Fortune 500 implementen agentes de razonamiento a escala utilizando inteligencia de dominio propietario. ¿Por qué este rol es notable? Trabajar bajo un equipo fundador de veteranos de la industria, incluido el ex Arquitecto Jefe de Visa y el creador del enorme gráfico de habilidades de LinkedIn. Resolver el "problema de hallucinación" mediante la construcción de una infraestructura contextual que actúa como un manual optimizado por máquina para los empleados para las empresas más grandes del mundo. Únete a una startup en serie A en rápido movimiento ya desplegada con líderes de Fortune 500 en seguros y viajes, ofreciendo equidad significativa y propiedad técnica. Lo que harás Diseñar e implantar modelos de vanguardia para extraer conocimientos estructurados y relaciones de inicio desde fuentes heterogéneas de datos empresariales.
Company: zaimler.ai - Series A context infrastructure for enterprise AI
Location: San Mateo, USA
Job Description: Join a high-caliber team building the missing semantic layer for autonomous agents. Working directly with the Chief Scientist (ex-LinkedIn), you will extract knowledge from fragmented enterprise data and build AI Data Graphs. This role is critical for eliminating AI hallucinations and enabling Fortune 500 companies to deploy reasoning agents at scale using proprietary domain intelligence.
Why this role is remarkable
Work under a founding team of industry veterans, including the former Chief Architect of Visa and the creator of LinkedIn’s massive Skills Graph.
Solve the "hallucination problem" by building context infrastructure that acts as a machine-optimized employee manual for the world's largest enterprises.
Join a fast-moving Series A startup already deploying with Fortune 500 leaders in insurance and travel, offering significant equity and technical ownership.
What you will do
Design and deploy state-of-the-art models to extract structured knowledge and relationships from heterogeneous enterprise data sources.
Fine-tune Large Language Models (LLMs) and Small Language Models (SLMs) with domain-specific context to power real-time inference.
Collaborate with data infrastructure engineers to architect a scalable platform that supports complex AI Data Graphs and semantic search.
The ideal candidate
Holds an MS or PhD in Computer Science or ML with 4+ years of hands‑on experience in NLP, knowledge extraction, or retrieval.
Proven track record of deploying and maintaining ML models in production environments, specifically using tools like spaCy, GLiNER, or vLLM.
Thrives in a fast‑paced startup environment and possesses strong data manipulation skills using Python, NumPy, and Pandas.
#J-18808-Ljbffr
In Summary: The ideal candidate holds an MS or PhD in Computer Science or ML with 4+ years of hands‑on experience in NLP, knowledge extraction, or retrieval . Join a fast-moving Series A startup already deploying with Fortune 500 leaders in insurance and travel .
En Español: Título de trabajo: Senior Applied Machine Learning Engineer Company: zaimler.ai - Serie A de infraestructura contextual para la empresa AI Ubicación: San Mateo, Estados Unidos Descripción del empleo: Únete a un equipo de alto calibre construyendo la capa semántica que falta para los agentes autónomos. Trabajando directamente con el científico jefe (ex-LinkedIn), extraerá conocimientos de datos empresariales fragmentados y construirá gráficos de datos de IA. Este papel es crítico para eliminar alucinaciones de IA y permitir que las compañías Fortune 500 implementen agentes de razonamiento a escala utilizando inteligencia de dominio propietario. ¿Por qué este rol es notable? Trabajar bajo un equipo fundador de veteranos de la industria, incluido el ex Arquitecto Jefe de Visa y el creador del enorme gráfico de habilidades de LinkedIn. Resolver el "problema de hallucinación" mediante la construcción de una infraestructura contextual que actúa como un manual optimizado por máquina para los empleados para las empresas más grandes del mundo. Únete a una startup en serie A en rápido movimiento ya desplegada con líderes de Fortune 500 en seguros y viajes, ofreciendo equidad significativa y propiedad técnica. Lo que harás Diseñar e implantar modelos de vanguardia para extraer conocimientos estructurados y relaciones de inicio desde fuentes heterogéneas de datos empresariales.