Forward Deployed Data Engineer (Robotics AI)

Location: New York, United States; On-site

Salary: $180,000–$250,000 per year plus equity

Company

hirify.global builds the data infrastructure layer and real-world datasets used to train, evaluate, and deploy robotic systems.

What you will do

• Own end-to-end delivery of customer datasets, including requirements, validation, iteration, and final handoff.
• Serve as the technical point of contact for customers, communicate expectations, and close delivery loops.
• Build, debug, and harden data pipelines across ingestion, transformation, quality assurance, and export.
• Establish dataset contracts covering schemas, versioning, provenance, and reproducible builds.
• Define and measure dataset quality through coverage, diversity, balance, label fidelity, and model fitness.
• Query and analyze large data corpora, create quality scorecards and coverage reports, and partner with perception and ML pipeline teams to improve missing signals in raw video.

Requirements

• 5+ years of experience in data engineering, backend engineering, or equivalent impact.
• Strong experience with large-scale data systems, pipelines, and analytical workflows.
• Strong SQL skills and experience with SQL, NoSQL, and object storage paradigms.
• Excellent engineering judgment, production debugging ability, and autonomy in high-stakes customer deliveries.
• Ability to translate ambiguous requirements into dataset specifications and execution plans.
• Comfort working with unstructured real-world data, especially video, with working literacy in video understanding, embeddings, and encoders.

Nice to have

• Experience building data-quality, coverage, or diversity tooling.
• Background adjacent to machine learning, computer vision, or robotics data.

Culture & Benefits

• High autonomy and a high-trust working environment.
• Direct impact on customer success and revenue.
• Opportunity to work across data, pipelines, analysis, and delivery quality.
• Equity included in the compensation package.