Hire a machine learning engineer without paying $160K+ a year. Get pre-vetted, AI-fluent machine learning engineers starting at $5.5K per month. We handle sourcing, vetting, payroll, and compliance so you can move models out of notebooks and into production, ship AI features on a real timeline, and stop losing candidates to big-tech offers.
Machine learning engineers are among the hardest hires in the market. Local candidates field multiple offers at salaries only large tech companies can sustain, and interviews are hard to run well unless you already employ ML expertise. Meanwhile your AI roadmap sits in a notebook that has never touched production. Our model closes that gap, we have already done the deep technical vetting, and you get a proven engineer in weeks at a number that works.
Every candidate passes structured skills-based testing, real-world scenario evaluation taking a model from data to deployed endpoint, and a hands-on AI fluency assessment covering both classical ML and LLM-based systems. When you hire a machine learning engineer through us, they are working in your training and serving infrastructure within 30 days, and we handle the employment contract, payroll, and compliance completely.
A machine learning engineer builds the systems that train, deploy, and monitor models in production, the engineering that turns a promising notebook into a shipped feature. A dedicated one means your AI work runs on a roadmap instead of on hope.
The recognizable moment is a demo that impressed everyone six months ago and still is not in the product.
Your data scientists build promising models but nothing ever survives the trip to production
You are shipping LLM features on top of raw API calls with no evaluation, versioning, or fallback plan
A model in production is quietly getting worse and nobody owns noticing
ML infrastructure decisions keep stalling because no one on the team has operated these systems before
We only work with the top 5% of candidates when companies hire machine learning engineer through us. Every candidate is skills-tested on the exact work this role does, assessed for AI fluency on real tasks, and scored with our proprietary Remote Readiness Score — built from 1,000+ successful remote hires — before they reach your team.
Ships a simple model that works in production over a sophisticated one that lives in a notebook
Builds evaluation before deployment, so model changes are measured instead of vibes-checked
Handles data drift, retraining, and rollback as designed features rather than incident response
Knows when an LLM call beats a trained model, and when it is an expensive shortcut
You share job description, core requirements & key skills we should screen for.
We run skills-based testing and manual screening, then deliver 3-5 candidates.
We confirm each candidate is interested in your role & aligned with your company.
You interview each candidate and, if needed, run a 1-2 hour test project.
We handle identity verification, NDA, compliant contracts & full payroll setup.
Talent is embedded into your team and works like any other team member.
Hiring a machine learning engineer locally typically costs $13,500 to $17,000 per month once you factor in salary, benefits, and overhead. With our model, you can reduce that cost by up to 70% while still getting a full-time machine learning engineer working directly inside your training pipelines, model registry, and serving infrastructure.
We handle employment, contracts, payroll, benefits, and HR admin, while they work as a full member of your engineering team. When you hire a machine learning engineer this way, capability compounds, evaluation harnesses, retraining pipelines, and production ML experience that stays inside your company.
Rare expertise, production systems instead of stalled experiments, and a monthly number that survives budget review. Hire a machine learning engineer and put a real date on your AI roadmap.
Hire a Machine Learning Engineer