Software Engineer (SWE), Delivery Ops

Mecka • New York, NY

8h • $150,000 - $200,000

About The Position

Mecka AI is building data infrastructure for robotics and embodied AI, including systems for data capture, labeling, and hardware-enabled workflows. Delivery Ops turns raw captures into datasets that customers can use to train AI systems. The team filters episodes against customer specifications, checks quality, privacy, exclusivity, and labels, packages and ships data, and reports on deliveries.

The Software Engineer will build systems that help a small team manage deliveries at scale, with the goal of reducing a delivery process that currently takes a week to one afternoon. The work spans data pipelines, automated ship gates, packaging and transfer, delivery records and reporting, and internal web tools used by the delivery team.

Requirements

• 3 to 6+ years of experience building production data pipelines or backend systems.
• Strong Python and SQL skills.
• Comfort working with document stores and analytical databases at the scale of millions of rows.
• Experience reliably moving large media files through cloud object storage.
• Enough frontend skill to build a usable internal tool without a designer.

Nice To Haves

• Video processing experience, including FFmpeg, frame extraction, or codecs.
• Experience with robotics, computer vision, or ML training datasets.

Responsibilities

• Build pipelines that translate customer specifications—including hours, diversity mix, formats, and label levels—into filtered, reproducible episode lists.
• Automate pre-shipment checks for quality, privacy blurring, bans, exclusivity, and label integrity, and make failures easy to trace.
• Own exports to customer formats and storage, including manifests, checksums, and re-delivery support.
• Maintain the source of truth for what was delivered to each customer, along with associated dashboards and reports.
• Build lightweight internal web tools, such as sample viewers, review pages, and report generators.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed