ML Engineer, Anomaly Detection

Automate Medical; Northern (KY); Hybrid; USD 200,000 - 280,000; Full time

Benefits offered by this job

Equity

Health/Dental/Vision

401(k)

Unlimited PTO

Parental Leave

Remote-first (US)

Job summary

Automate Medical is building a streaming anomaly detection platform for healthcare. You will own the pipeline from modeling to production, including dashboards, models and integrations used by patients, providers, researchers and pharma.

You will operate in a HIPAA-aware stack with BAAs and immutable audit logs, within a lean, senior team with direct access to clinical, security and engineering leads. Remote-first in the US.

Qualifications

• 5+ years of senior ML/AI experience.
• Evidence-led decision making; disclose subgroup performance.
• Experience in HIPAA/BAA-compliant environments.
• Excellent written and verbal communication; client-facing.

Responsibilities

• Own the streaming anomaly detection pipeline from modeling to production.
• Develop dashboards, models, and integrations for healthcare audiences.
• Maintain rigorous validation: cohort definitions, held-out evaluation, subgroup analyses, independent reviews, continuous monitoring.
• Collaborate with clinical, security, and engineering leads in a lean team.

Skills

Senior ML/AI experience

Evidence-based decision-making

HIPAA/BAA compliance

Strong communication

Job description

Own the streaming anomaly detection pipeline. Time-series modeling, calibration, online evaluation, and production drift monitoring.

What you'll do

• Ship the platform surface — dashboards, models, integrations — that the four audiences of modern healthcare (patients, providers, researchers, pharma) use every day.
• Hold a five-stage validation bar: cohort definition, held-out evaluation, subgroup analysis, independent review, continuous monitoring.
• Operate inside a HIPAA-aware stack: BAA-covered LLM providers, customer-controlled tenancies, immutable audit log on every inference.
• Work in a small, senior team. No layers, no bureaucracy. Direct access to clinical, security, and engineering leads.

What we're looking for

• 5+ years of relevant, senior-level experience in ml / ai.
• Strong evidence-led decision-making: you publish what you claim, you disclose subgroup performance, you read the methodology.
• Comfortable working in a BAA-covered, HIPAA-aware environment. Security is part of the build, not bolted on.
• Excellent written and verbal communication. You'll be in front of customers, clinicians, and regulators.

What we offer

• Remote-first within the US. Boston HQ for those who want it.
• Generous equity. Every full-time hire gets meaningful equity.
• $200K – $280K + equity, health/dental/vision, 401(k), unlimited PTO (3-week minimum), parental leave.
• Quarterly on-sites for planning and team building.