ML Engineer

Crossing Hurdles; Kennewick (WA); Hybrid; USD 150,000 - 215,000; Full time

Job summary

Crossing Hurdles is seeking a data engineer with 4+ years of experience to join a fast-growing AI-powered recruiting marketplace. You will own data pipelines and ML features end-to-end, from experimentation to deployment, in a hybrid setup based in Washington DC and surrounding DMV area.

Join a team building AI and GenAI systems using modern ML frameworks. You will contribute to scalable solutions that empower decision-making across enterprise and government use cases, while enjoying a flexible,

Qualifications

• 4+ years of experience in data engineering.
• Experience deploying ML solutions with security considerations.
• Experience with AI/GenAI systems and modern ML frameworks.

Responsibilities

• Own ML features end to end from experimentation to deployment.
• Work on cutting-edge AI/GenAI systems in production environments.
• Deliver high-impact ML solutions that influence users and business outcomes.

Skills

Data engineering

ML deployment

AI/GenAI systems

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

• 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.