Applied AI Engineer — End-to-End ML, Hybrid, Equity

Protech Talent; United States; Hybrid; USD 150,000 - 300,000; Full time

Job summary

A fast-growing AI-driven healthcare startup is seeking an Applied AI Engineer to develop production-grade machine learning systems. With a focus on autonomy and cross-functional collaboration, this hybrid position demands strong technical skills and project ownership. Candidates should have experience deploying ML systems in production and a background in top-tier tech firms or startups. Competitive salary range of $150K to $300K plus equity is offered.

Qualifications

• 1–15 years as an AI / ML Engineer, Applied Scientist, or ML Research Engineer.
• Hands-on experience building and deploying ML systems in production (not research-only).
• Background at a top-tier tech or early-stage startup that has shipped AI-powered products.

Responsibilities

• Build and productionize ML and LLM-based systems.
• Lead zero-to-one experiments and deliver models to real customers.
• Collaborate with stakeholders to scope, design, and deploy AI-driven features.

Skills

Proficiency with modern ML frameworks (PyTorch, TensorFlow, Transformers, LLM APIs)

Strong written + verbal communication and cross-team collaboration

Education

Degree in CS or related field from a top program

Tools

AWS

Job description

A fast-growing AI-driven healthcare startup is seeking an Applied AI Engineer to develop production-grade machine learning systems. With a focus on autonomy and cross-functional collaboration, this hybrid position demands strong technical skills and project ownership. Candidates should have experience deploying ML systems in production and a background in top-tier tech firms or startups. Competitive salary range of $150K to $300K plus equity is offered.