Founding AI Engineer - Build ML Systems with Equity

Advatix Inc.; New York (NY); On-site; USD 125,000 - 190,000; Full time

Benefits offered by this job

Retirement/401k

Health Insurance

Vision Insurance

Dental Insurance

Unlimited PTO

Paid Short- & Long-term Disability Insurance

Paid Life Insurance

Equity: 0.20% - 1.50%

Job summary

Advatix Inc. in New York is seeking a Founding AI Engineer / Member of Technical Staff to design and ship machine learning systems crucial for public safety. This role involves direct collaboration with founders and investigators to transform digital evidence into actionable insights.

The ideal candidate will have over 4 years of experience in software engineering, particularly in AI/ML environments. You'll have a hands-on approach to building reliable, production-ready systems that agencies trust, contributing to high-stakes investigations.

Qualifications

• 4+ years of professional software engineering experience, especially with ML/AI.
• Experience building production-ready systems with deep learning.
• Comfortable working end-to-end in a fast-moving startup.
• Strong communication and collaboration skills.

Responsibilities

• Design and ship the ML systems for law enforcement.
• Own core AI and backend systems for evidence processing.
• Collaborate with detectives to turn feedback into features.
• Contribute across the stack to maintain a robust AI platform.

Skills

Software engineering experience

Backend fundamentals

Machine learning systems

Python programming

Data pipelines design

Collaborative skills

Tools

Python

TypeScript/React

Job description

Advatix Inc. in New York is seeking a Founding AI Engineer / Member of Technical Staff to design and ship machine learning systems crucial for public safety. This role involves direct collaboration with founders and investigators to transform digital evidence into actionable insights.

The ideal candidate will have over 4 years of experience in software engineering, particularly in AI/ML environments. You'll have a hands-on approach to building reliable, production-ready systems that agencies trust, contributing to high-stakes investigations.