Machine Learning Engineer

Protech Talent; United States; On-site; USD 160,000 - 300,000; Full time

Job summary

A growing AI-driven healthcare startup is seeking an Applied AI Engineer to lead projects from model selection to deployment. This role includes building ML systems for automation and prediction while collaborating with product and engineering teams. Ideal candidates have 1–15 years of experience in AI/ML, proficiency in frameworks like PyTorch and TensorFlow, and a degree in a related field. This full-time position offers opportunities for high accountability and innovation.

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.
• 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 that power automation.
• Collaborate with stakeholders to scope, design, and deploy AI-driven features.
• Evaluate new methods and improve model reliability and accuracy.

Skills

Proficiency with modern ML frameworks

Experience fine-tuning large-language-model systems

Strong written and verbal communication

Experience building and deploying ML systems

Education

Degree in CS or related field from a top program

Tools

PyTorch

TensorFlow

AWS

Job description

Base pay range

$160,000.00/yr - $300,000.00/yr

About the Role

We’re looking for an Applied AI Engineer to help turn cutting‑edge machine‑learning research into production‑grade, revenue‑driving products. You’ll own projects end‑to‑end—from model selection and data pipelines to deployment, monitoring, and iteration in live environments. Expect full autonomy, high accountability, and constant cross‑functional collaboration with product and operations teams.

About the Company

This fast‑growing AI‑driven healthcare startup is on a mission to make life‑changing therapies accessible faster and more affordably. Backed by top‑tier investors, the team is composed of exceptional engineers, operators, and scientists from top startups and research labs.

What you’ll do

• Build and productionize ML and LLM‑based systems that power automation, prediction, and intelligent search.
• Combine techniques like data extraction, document classification, workflow orchestration, and multimodal modeling.
• Lead zero‑to‑one experiments and deliver models that ship to real customers.
• Collaborate directly with business and engineering stakeholders to scope, design, and deploy AI‑driven features.
• Evaluate new methods, fine‑tune models, and continuously improve reliability, latency, and accuracy.
• Build internal tools and pipelines that accelerate future AI development.

What we’re looking for

Experience

• 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
• End‑to‑end project ownership—data, training, infra, deployment, iteration

Technical Skills

• Proficiency with modern ML frameworks (PyTorch, TensorFlow, Transformers, LLM APIs)
• Experience fine‑tuning, prompting, or orchestrating large‑language‑model systems
• Comfortable designing scalable data and inference pipelines on cloud (AWS preferred)

Soft Skills

• Low‑ego, high‑ownership mindset
• Strong written + verbal communication and cross‑team collaboration
• Bias toward speed, clarity, and tangible results

Nice to have

• Founder or early‑startup experience
• Pear Fellow / Neo Scholar background
• Degree in CS or related field from a top program (or equivalent practical excellence)

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology