Remote Full-Stack Engineer, ML Data Platform

Stack AV Co; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Stack AV is seeking a Full-Stack Software Engineer for its Machine Learning Platform in Pittsburgh, with remote work options. You will partner with AI/Data teams to design and deliver introspection tools that power AV ML development.

The role emphasizes building scalable, safe, and reliable systems using React, TS, Go, and Python, enabling data ingestion, visualization, and experimentation across multiple data modalities.

Qualifications

• 3+ years driving full‑stack development with large‑scale data (video, audio, sensor data, text, etc).
• Experience building modern full‑stack solutions using React, TypeScript, Go, Python for many customer teams.
• Solid understanding of data storage architectures and SQL/No‑SQL trade‑offs.
• Proven track record of scalable, reliable full‑stack solutions in fast‑paced environments.
• Deep understanding of design trade‑offs and ability to articulate them and achieve alignment.
• Experience integrating novel AI techniques into front‑end applications.

Responsibilities

• Partner with Product, Design and Engineering to define a vision for AV data introspection software and a pragmatic roadmap.
• Deliver the roadmap while maintaining a high bar for engineering excellence.
• Identify and address gaps in existing tools for multiple customer personas.
• Drive technical discussions to deliver timely solutions.
• Advocate for technical solutions to maximize business impact.

Skills

Full-stack development

Data handling

System design

AI integration

Cross-functional collaboration

Tools

React

TypeScript

Go

Python

Job description

Stack AV is seeking a Full-Stack Software Engineer for its Machine Learning Platform in Pittsburgh, with remote work options. You will partner with AI/Data teams to design and deliver introspection tools that power AV ML development.

The role emphasizes building scalable, safe, and reliable systems using React, TS, Go, and Python, enabling data ingestion, visualization, and experimentation across multiple data modalities.