Senior Machine Learning Engineer, Defensive Agent

Horizon3.ai
United States
Workplace: RemoteFull timeUSD 211,000 - 249,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Collaboration","Ownership","Results-oriented","Communication"]

Build and productionize defensive AI agents for large-scale autonomous pentesting. Own the full model-to-production path: training and post-training pipelines, inference/serving infrastructure, release workflows with canaries and rollback, and model-layer monitoring for drift and regressions. Create data/context pipelines with retrieval and embeddings plus tenant isolation, optimize latency and cost, and ship product features via ETL and GraphQL—partnering closely with AI researchers.

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FursaFursa
Horizon3.ai
Horizon3.ai
20 hours ago

Senior Machine Learning Engineer, Defensive Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and productionize defensive AI agents for large-scale autonomous pentesting. Own the full model-to-production path: training and post-training pipelines, inference/serving infrastructure, release workflows with canaries and rollback, and model-layer monitoring for drift and regressions. Create data/context pipelines with retrieval and embeddings plus tenant isolation, optimize latency and cost, and ship product features via ETL and GraphQL—partnering closely with AI researchers.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and own training and post-training pipelines including data preparation, fine-tuning/preference optimization runs, experiment tracking, artifact management, and reproducibility.
  • •Build the inference and serving layer including model gateway/provider routing and fallback, regional pinning, batching, and caching.
  • •Own the release path for model-layer artifacts with versioned prompts/selections/tool definitions, plus shadow/canary deployments and fast rollback.
  • •Build monitoring for model-layer behavior, including drift/regression detection, output quality signals, latency, and per-tenant token/cost accounting with budget enforcement.
  • •Build data and context pipelines for inference using retrieval and embedding infrastructure plus configuration/remediation data with tenant isolation end to end.

Pay and Benefits

Salary: USD 211,000 - 249,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceVisionDentalPaid LeaveParental LeaveEquity

Key Requirements

  • •Bachelor's Degree in Computer Science, Computer Engineering or related field, or equivalent practical experience.
  • •5+ years professional software engineering experience, with strong production Python.
  • •Demonstrated experience taking ML or LLM-backed systems from prototype to production and operating them.
  • •Hands-on experience with ML pipelines and tooling including training/fine-tuning workflows, experiment tracking, artifact/model registries, and reproducible data preparation.
  • •Experience building and operating inference or model-serving infrastructure in production, including latency and cost optimization.
Experience:5+ yearsCybersecurityLLMMachine learning
Education:Bachelor's in Computer Science or Computer Engineering
Skills:CollaborationOwnershipResults-orientedCommunication
Tech Stack:PythonAWSAzureGCPDockerKubernetesSQLETLGraphQLPostgreSQLNeo4jDatadogPrometheusGrafanaVLLMTGIBedrockFedRAMPGPUQuantization

Company Brief

Horizon3.ai
Builds NodeZero®, an autonomous penetration-testing platform that continuously finds, prioritizes, and verifies exploitable vulnerabilities across on-premises, cloud, and hybrid environments to help organizations reduce security risk.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2019
Glassdoor
Glassdoor: 4.9
WebsiteLinkedInGlassdoor