Senior Full-Stack ML Platform Engineer

Stack AV; Pittsburgh (Allegheny County); Presencial; USD 140.000 - 180.000; Jornada completa

Descripción de la vacante

Stack AV is building cutting-edge AI and autonomous systems for the trucking industry. The AI Data Infrastructure team powers data ingestion, processing, annotation, and visualization for AV ML needs, delivering trusted data to drive Autonomy development.

We collaborate across data engineering, ML modeling, ML infrastructure, and data introspection tools to support engineers and executives in evaluating AV performance against safety benchmarks.

Formación

• 6+ years of experience driving full-stack development with large-scale diverse data (video, audio, sensor data, text, etc).
• Experience architecting and building modern full-stack solutions using React, TypeScript, Go, Python, SQL for multiple customer teams.
• Solid understanding of data storage architectures and trade-offs, including SQL and No-SQL solutions.
• Proven track record of building scalable, reliable full-stack solutions in fast-paced environments.
• Experience integrating novel AI techniques into front-end applications.

Responsabilidades

• Partner with XFN stakeholders across Product, Engineering and TPM to define a vision for a state-of-the art AV data introspection software, with a pragmatic implementation roadmap that accelerates AV product development while maintaining safety.
• Deliver the roadmap while setting a high bar for engineering excellence within the team.
• Discover key issues in existing tools across each customer persona and address gaps.
• Drive technical discussions to deliver solutions on a timely basis.
• Evangelize technical solutions across the company to maximize business impact.

Conocimientos

Full-stack

React

TypeScript

Go

Python

SQL

NoSQL

APIs

AI in UI

Data pipelines

Descripción del empleo

Stack AV is building cutting-edge AI and autonomous systems for the trucking industry. The AI Data Infrastructure team powers data ingestion, processing, annotation, and visualization for AV ML needs, delivering trusted data to drive Autonomy development.

We collaborate across data engineering, ML modeling, ML infrastructure, and data introspection tools to support engineers and executives in evaluating AV performance against safety benchmarks.