Machine Learning Engineer jobs in United States
info-icon
This job has closed.
company-logo

Protech Talent · 1 day ago

Machine Learning Engineer

Protech Talent is a fast-growing AI-driven healthcare startup focused on making life-changing therapies more accessible. They are seeking an Applied AI Engineer to turn machine-learning research into production-grade products, managing projects from model selection to deployment and collaborating with cross-functional teams.

Staffing & Recruiting
Hiring Manager
Matthew Coll-Beswick
linkedin

Responsibilities

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

Qualification

ML frameworksML systems deploymentFull-stack developmentLarge-language-model systemsData pipelinesLow-ego mindsetBias toward speedCross-team collaborationWritten communicationVerbal communication

Required

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
Proficiency with modern ML frameworks (PyTorch, TensorFlow, Transformers, LLM APIs)
Experience fine-tuning, prompting, or orchestrating large-language-model systems
Strong foundation in full-stack development (Python + React / TypeScript / PostgreSQL / Kubernetes)
Comfortable designing scalable data and inference pipelines on cloud (AWS preferred)
Low-ego, high-ownership mindset
Strong written + verbal communication and cross-team collaboration
Bias toward speed, clarity, and tangible results

Preferred

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

Benefits

Competitive Equity

Company

Protech Talent

twitter
company-logo
Building teams and transforming careers is what we do.

Funding

Current Stage
Early Stage
Company data provided by crunchbase