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.

Requirements

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.

Benefits

Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.
Flexible vacation and work from home days.
Competitive salary and meaningful equity.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningnatural language processingLLM-based systemsGenAI featuresPythondata ingestiondata preprocessingscalable servicesLangChainHuggingFace

communicationcollaborationtechnical contributioninfluencing best practicesreasoning about tradeoffs

Bachelor’s in Computer ScienceMaster’s in Machine LearningPhD in related field