Teleskope
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
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