Teleskope is hiring: Senior Machine Learning Engineer in New York
Teleskope, New York, NY, United States
About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high‑growth phase backed by top-tier investors and exceptional product‑market fit.
About the role
Teleskope is seeking a Senior Machine Learning Engineer to help build and scale the core ML systems that power data classification, data workflows across the Teleskope platform.
In this role, you will operate at the intersection of applied NLP, agentic systems, and production ML engineering . You will design and own end‑to‑end ML pipelines that surface sensitive data risks, propose and execute remediation actions via agentic workflows, and enable GenAI features used directly by all Teleskope customers.
This is a high‑visibility, high‑ownership role . The systems you build will be central to the platform and touched by every Teleskope user. You will work closely with product, engineering, and customer‑facing teams to ensure ML systems are reliable, scalable, and production‑grade.
This is an in‑office role based in New York City.
What You'll Do
Design, build, and own production ML systems that surface data risk and power automated remediation across the Teleskope platform.
Develop agentic ML pipelines that combine detection, classification, and decision‑making with automated, policy‑driven remediation actions.
Build and deploy NLP and GenAI models for:
Named Entity Recognition (NER) and sensitive data detection
Text, document, and table classification
Clustering, summarization, and risk prioritization
LLM‑driven reasoning and remediation proposal workflows
Define and implement quality, evaluation, and monitoring frameworks to ensure model correctness, stability, and safety in production.
Collaborate with product and platform engineering to integrate ML systems into customer‑facing features and workflows.
Contribute to the architecture and evolution of Teleskope's ML infrastructure , balancing velocity, reliability, and long‑term maintainability.
Serve as a senior technical contributor, influencing best practices and raising the bar for ML engineering across the team.
What You Bring
6+ years of experience building and deploying machine learning systems in production, with a strong emphasis on NLP.
Proven experience owning end‑to‑end ML pipelines , from data ingestion and preprocessing to deployment and monitoring.
Hands‑on experience with LLM‑based systems, GenAI features, or agentic workflows in real‑world applications.
Strong software engineering skills, including:
Proficiency in Python
Experience building scalable services and pipelines
Experience with modern ML frameworks (e.g., LangChain, HuggingFace) and production deployment patterns.
Ability to reason about tradeoffs across accuracy, latency, cost, and system complexity.
Strong communication skills and comfort collaborating across engineering, product, and customer teams.
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field—or equivalent professional experience.
Must be based in New York City — this is an in‑office role.
Nice to Haves
Experience with GPU‑accelerated inference , Triton, ONNX, or model serving optimization.
Experience deploying ML systems in cloud‑native and on‑prem environments.
Exposure to compiled languages such as Go .
Experience supporting multilingual NLP systems.
Background in building ML systems that operate in security, privacy, or compliance‑sensitive domains .
What You'll Get
A senior, high‑impact role at an early‑stage startup in a fast‑growing market.
Ownership over ML systems that directly power every customer workflow on the platform.
The opportunity to shape how agentic AI and GenAI are used responsibly in data security.
A beautiful, well‑stocked office in NYC's Financial District.
Flexible vacation and work from home days.
Competitive salary and meaningful equity.
Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.
What We Value
At Teleskope, we value strong engineers who build real systems . We look for team members who combine ML depth with pragmatic execution, take ownership of critical infrastructure, and ship reliable solutions that deliver real‑world security and privacy outcomes.
#J-18808-Ljbffr
In Summary: Teleskope is seeking a Senior Machine Learning Engineer to help build and scale the core ML systems that power data classification, data workflows . The systems you build will be central to the platform and touched by every TelesKope user . You will operate at the intersection of applied NLP, agentic systems and production ML engineering .
En Español: Teleskope está redefiniendo la seguridad de datos para la era de la IA con la única plataforma dedicada que combina una visibilidad precisa con rehabilitación automatizada. Teleskope escanea, cataloga y clasifica continuamente los datos en movimiento y al reposo mientras automatiza las acciones basadas en políticas, ayudando a las organizaciones a gestionar proactivamente el despliegue de datos mientras permite una adopción segura. A partir de nuestra ronda de 25 millones de dólares Serie A, Teleskop entra en una fase de alto crecimiento respaldada por inversores de primer nivel y un ajuste excepcional del mercado de productos. Trabajará en estrecha colaboración con equipos de producto, ingeniería y gestión orientados al cliente para garantizar que los sistemas ML sean fiables, escalables y de grado de producción. Este es un rol interno basado en la ciudad de Nueva York. Lo que hará Diseñar, construir y poseer sistemas ML de producción que superfieran el riesgo de datos y la potencia de rehabilitación automática a través de la plataforma Teleskope. Desarrollarán oleoductos ML de comodidad que combinen la detección, clasificación y toma de decisiones con acciones automatizadas de reparación dirigidas por políticas. Construir e implementar modelos NLP y GenAI para: Reconocimiento de entidades denominadas (NER) y detección de datos sensibles Clustering, documentación, resumen y clasificación de patrones de trabajo LLM y resolución de riesgos Las propuestas de aprendizaje LLM-Faciencia deben influenciar las mejores habilidades del equipo profesional en términos de calidad, evaluación y desarrollo de conocimientos básicos para asegurar la estabilidad de los procesos de fabricación de productos y su funcionamiento con una amplia gama de características técnicas de ingeniería mecánica o tecnología avanzada. Buscamos miembros del equipo que combinen la profundidad de ML con una ejecución pragmática, tomen posesión de infraestructuras críticas y envíen soluciones fiables que brinden resultados de seguridad y privacidad en el mundo real. #J-18808-Ljbffr
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high‑growth phase backed by top-tier investors and exceptional product‑market fit.
About the role
Teleskope is seeking a Senior Machine Learning Engineer to help build and scale the core ML systems that power data classification, data workflows across the Teleskope platform.
In this role, you will operate at the intersection of applied NLP, agentic systems, and production ML engineering . You will design and own end‑to‑end ML pipelines that surface sensitive data risks, propose and execute remediation actions via agentic workflows, and enable GenAI features used directly by all Teleskope customers.
This is a high‑visibility, high‑ownership role . The systems you build will be central to the platform and touched by every Teleskope user. You will work closely with product, engineering, and customer‑facing teams to ensure ML systems are reliable, scalable, and production‑grade.
This is an in‑office role based in New York City.
What You'll Do
Design, build, and own production ML systems that surface data risk and power automated remediation across the Teleskope platform.
Develop agentic ML pipelines that combine detection, classification, and decision‑making with automated, policy‑driven remediation actions.
Build and deploy NLP and GenAI models for:
Named Entity Recognition (NER) and sensitive data detection
Text, document, and table classification
Clustering, summarization, and risk prioritization
LLM‑driven reasoning and remediation proposal workflows
Define and implement quality, evaluation, and monitoring frameworks to ensure model correctness, stability, and safety in production.
Collaborate with product and platform engineering to integrate ML systems into customer‑facing features and workflows.
Contribute to the architecture and evolution of Teleskope's ML infrastructure , balancing velocity, reliability, and long‑term maintainability.
Serve as a senior technical contributor, influencing best practices and raising the bar for ML engineering across the team.
What You Bring
6+ years of experience building and deploying machine learning systems in production, with a strong emphasis on NLP.
Proven experience owning end‑to‑end ML pipelines , from data ingestion and preprocessing to deployment and monitoring.
Hands‑on experience with LLM‑based systems, GenAI features, or agentic workflows in real‑world applications.
Strong software engineering skills, including:
Proficiency in Python
Experience building scalable services and pipelines
Experience with modern ML frameworks (e.g., LangChain, HuggingFace) and production deployment patterns.
Ability to reason about tradeoffs across accuracy, latency, cost, and system complexity.
Strong communication skills and comfort collaborating across engineering, product, and customer teams.
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field—or equivalent professional experience.
Must be based in New York City — this is an in‑office role.
Nice to Haves
Experience with GPU‑accelerated inference , Triton, ONNX, or model serving optimization.
Experience deploying ML systems in cloud‑native and on‑prem environments.
Exposure to compiled languages such as Go .
Experience supporting multilingual NLP systems.
Background in building ML systems that operate in security, privacy, or compliance‑sensitive domains .
What You'll Get
A senior, high‑impact role at an early‑stage startup in a fast‑growing market.
Ownership over ML systems that directly power every customer workflow on the platform.
The opportunity to shape how agentic AI and GenAI are used responsibly in data security.
A beautiful, well‑stocked office in NYC's Financial District.
Flexible vacation and work from home days.
Competitive salary and meaningful equity.
Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.
What We Value
At Teleskope, we value strong engineers who build real systems . We look for team members who combine ML depth with pragmatic execution, take ownership of critical infrastructure, and ship reliable solutions that deliver real‑world security and privacy outcomes.
#J-18808-Ljbffr
In Summary: Teleskope is seeking a Senior Machine Learning Engineer to help build and scale the core ML systems that power data classification, data workflows . The systems you build will be central to the platform and touched by every TelesKope user . You will operate at the intersection of applied NLP, agentic systems and production ML engineering .
En Español: Teleskope está redefiniendo la seguridad de datos para la era de la IA con la única plataforma dedicada que combina una visibilidad precisa con rehabilitación automatizada. Teleskope escanea, cataloga y clasifica continuamente los datos en movimiento y al reposo mientras automatiza las acciones basadas en políticas, ayudando a las organizaciones a gestionar proactivamente el despliegue de datos mientras permite una adopción segura. A partir de nuestra ronda de 25 millones de dólares Serie A, Teleskop entra en una fase de alto crecimiento respaldada por inversores de primer nivel y un ajuste excepcional del mercado de productos. Trabajará en estrecha colaboración con equipos de producto, ingeniería y gestión orientados al cliente para garantizar que los sistemas ML sean fiables, escalables y de grado de producción. Este es un rol interno basado en la ciudad de Nueva York. Lo que hará Diseñar, construir y poseer sistemas ML de producción que superfieran el riesgo de datos y la potencia de rehabilitación automática a través de la plataforma Teleskope. Desarrollarán oleoductos ML de comodidad que combinen la detección, clasificación y toma de decisiones con acciones automatizadas de reparación dirigidas por políticas. Construir e implementar modelos NLP y GenAI para: Reconocimiento de entidades denominadas (NER) y detección de datos sensibles Clustering, documentación, resumen y clasificación de patrones de trabajo LLM y resolución de riesgos Las propuestas de aprendizaje LLM-Faciencia deben influenciar las mejores habilidades del equipo profesional en términos de calidad, evaluación y desarrollo de conocimientos básicos para asegurar la estabilidad de los procesos de fabricación de productos y su funcionamiento con una amplia gama de características técnicas de ingeniería mecánica o tecnología avanzada. Buscamos miembros del equipo que combinen la profundidad de ML con una ejecución pragmática, tomen posesión de infraestructuras críticas y envíen soluciones fiables que brinden resultados de seguridad y privacidad en el mundo real. #J-18808-Ljbffr