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ML Engineer

Crossing Hurdles
Greater Kennewick Area
Full-time
15,000,000 – 21,500,000 / year
AI tools:
LLMs
modern ML frameworks
Applications go directly to the hiring team

As an ML Engineer at Crossing Hurdles, you'll be part of a dynamic team focused on revolutionizing recruitment through AI. You'll work on impactful AI projects that enhance decision-making across various industries while enjoying a flexible and autonomous work culture.

Full-time
Hybrid
4+ years

Skills & Expertise

Machine Learning
Reinforcement Learning
LLMs
Data Engineering
ML Frameworks
AI Systems
Deployment
Optimization

Key Responsibilities

Develop and deploy security-sage ML solutions in production environments.

Own ML features from experimentation and training to deployment and optimization.

Analyze complex data to deliver high-impact work influencing business outcomes.

Full Description

Crossing Hurdles is a global recruitment firm partnering with a fast-growing AI-powered recruiting marketplace modernizing how companies hire. Backed by top-tier investors and trusted by industry leaders like Palantir, Shopify, and Coinbase, is building the first end-to-end AI recruiting marketplace that combines specialized recruiters with AI agents to help companies hire faster and more accurately.

Role Snapshot

* Role: ML Engineer

* YOE: 4+ years of experience in data engineering, deploying security-sage ML solutions

* Location: Washington DC, DMV Area | Hybrid

* Compensation: $150K – $215K + Equity

About The Client

The company works on AI-driven projects that help organizations explore complex data and make faster, more informed decisions. Its platform combines machine learning with intuitive visualizations, allowing both technical and non-technical users to uncover insights efficiently across enterprise and government use cases.

Why Candidate Should Join

* Work on cutting-edge AI and GenAI systems using LLMs, Reinforcement Learning, and modern ML frameworks in production environments.

* Own ML features end to end, from experimentation and training to deployment and optimization.

* Deliver high-impact work that directly influences users and business outcomes.

* Learn and grow quickly while deepening expertise in applied ML and scalable AI systems.

* Thrive in a flexible, modern work environment that values autonomy and results.

Applications go to the hiring team directly