Senior ML Engineer - Pipelines, Inference & Deployments

Horizon3; United States; Hybrid; USD 211,000 - 249,000; Full time

Job summary

Horizon3 is a fast-growing cybersecurity company offering autonomous pentesting through its NodeZero platform. The team blends former special operations cyber operators with startup engineers to foster a culture of respect, collaboration, and ownership.

The role focuses on building and owning ML-driven training pipelines, serving layers, and reliable release processes. Candidates should have 5+ years of software engineering and strong Python proficiency, with hybrid/remote work options including

Qualifications

• Bachelor's Degree in Computer Science or related field, or equivalent practical experience.
• 5+ years of professional software engineering experience with strong production Python.
• Hands-on experience with ML pipelines and tooling, including training or fine-tuning workflows, experiment tracking, and model registries.
• Inclusive team that values diversity and promotes an inclusive culture.
• Growth opportunities in a dynamic and growing team.
• Innovative culture encouraging creativity and out-of-the-box thinking.
• Hybrid and remote work models, with some roles requiring in-office presence in Chicago.

Responsibilities

• Build and own training and post-training pipelines: data preparation, fine-tuning, preference optimization, experiment tracking, and reproducibility.
• Build inference and serving layer: model gateway with provider routing, fallback, regional pinning for data residency, batching, and caching.
• Own release path for model-layer artifacts: version prompts, model selections, and tool definitions as deployable config; run shadow and canary deployments by tenant; make rollback fast and boring.

Skills

Python

ML pipelines

Experiment tracking

Model registries

Education

Bachelor's Degree in Computer Science or related field

Job description

Horizon3 is a fast-growing cybersecurity company offering autonomous pentesting through its NodeZero platform. The team blends former special operations cyber operators with startup engineers to foster a culture of respect, collaboration, and ownership.

The role focuses on building and owning ML-driven training pipelines, serving layers, and reliable release processes. Candidates should have 5+ years of software engineering and strong Python proficiency, with hybrid/remote work options including