Teleskope · 13 hours ago
Senior Machine Learning Engineer
New York, NY
Full-time
Hybrid
Senior Level
$190K/yr - $230K/yr
7+ years expTeleskope is redefining data security for the AI era with a dedicated platform for data visibility and automated remediation. They are seeking a Senior Machine Learning Engineer to build and scale core ML systems for data classification and workflows, ensuring reliability and scalability across the Teleskope platform.
Artificial Intelligence (AI)ComplianceSecuritySoftware
Responsibilities
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
Qualification
Required
7+ 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 hybrid role
Preferred
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
Benefits
Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.
Flexible vacation and work from home days.
Competitive salary and meaningful equity.
Company
Teleskope
Teleskope provides a data protection platform that automates data security, privacy, and compliance across organizational environments.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$32.2MKey Investors
M13Primary Venture PartnersLerer Hippeau
2025-11-03Series A· $25M
2024-04-30Seed· $5M
2023-07-13Pre Seed· $2.2M
Leadership Team
Elizabeth Nammour
Founder & CEO
Recent News
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2025-11-11
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2025-11-11
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