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Senior Machine Learning Engineer, Autonomous Defense

Horizon3 AI· Engineering
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Remote$211k - $249k + equityFull-timePosted 1mo ago

About the role

Senior Machine Learning Engineer on the Autonomous Defense team responsible for moving defensive ML/LLM systems from prototype to production, building end-to-end pipelines, serving infrastructure, and ensuring scalable, observable, and cost-effective deployment across thousands of customer tenants.

Responsibilities

  • Build and own the training and post-training pipelines — data preparation, fine-tuning and preference optimization runs, experiment tracking, artifact management, and reproducibility.
  • Build the inference and serving layer: model gateway with provider routing and fallback, regional pinning for data residency, batching, and caching.
  • Own the release path for model-layer artifacts: version prompts, model selections, and tool definitions as deployable config; run shadow and canary deployments by tenant; enable fast and boring rollback.
  • Build monitoring for the model layer — behavioral drift, regression detection, output quality signals, latency, and per-tenant token and cost accounting with budget enforcement.
  • Build the data and context pipelines that feed inference, including retrieval and embedding infrastructure over attack path, configuration, and remediation data, with tenant isolation enforced end to end.
  • Optimize cost and latency across the inference path, and make the tradeoffs visible for product decisions with real numbers.
  • Develop core product features in ETL and GraphQL where model outputs, run history, and evaluation results need to reach the product and internal tooling.
  • Partner with researchers to move prototypes into production, and feed production constraints and failure data back into research direction.

Qualifications

  • Bachelor's Degree in Computer Science, Computer Engineering or related field, or equivalent practical experience.
  • 5+ yrs 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: training or fine-tuning workflows, experiment tracking, artifact and model registries, and reproducible data preparation.
  • Experience building and operating inference or model-serving infrastructure in production, including latency and cost optimization.
  • Experience building applications on cloud computing platforms such as AWS, Azure, GCP, using container technologies such as Docker and Kubernetes.
  • Solid proficiency in SQL and experience with production data pipelines.

Skills

Required:PythonML pipelinesInference servingCloud platformsSQL

Benefits

  • Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.
  • Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.
  • Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.
  • Hybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office.
  • Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Horizon3 AI

Only Pentesting Platform Proven in Production

Continuously assess, fix, and verify your security posture. Securing enterprises across many attack surfaces.

PentestingSecurity PostureThreat DetectionVulnerabilitiesRisk AssessmentOffensive Security
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