ML-Engineer

Crossing Hurdles; Washington, Tacoma (District of Columbia, WA, MD); Hybrid; USD 150,000 - 215,000; Full time

Job summary

Crossing Hurdles is seeking a data engineer in Washington DC with a hybrid work setup. The role requires 4+ years of data engineering experience and hands-on work deploying security-aware ML solutions for a fast-growing AI-powered recruiting marketplace.

Compensation ranges from $150k to $215k plus equity. The company collaborates with top-tier investors and serves industry leaders, offering exposure to cutting-edge GenAI systems.

Qualifications

• 4+ years of experience in data engineering.
• Experience deploying ML solutions with a focus on security.

Skills

Data engineering

ML deployment

Job 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

Compensation: $150k – $215k + Equity

Location: Washington DC, DMV Area | Hybrid

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

About The Company

It is 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.

Why You Should Consider

• Work on cutting-edge AI & GenAI systems.