Stack AV

Machine Learning Engineer

• Own the technical direction of the team in leveraging foundational models and related techniques for the dual mission of the team.
• Design and implement offboard pipelines to train, distill, evaluate and serve Machine Learning Models.
• Demonstrate that these pipelines work with open source data and contribute to open-source libraries.
• Proactively identify opportunities for improvements and work with senior leadership team to prioritization of resolutions.
• Align stakeholders with strong presentation and communication skills.
• Lead challenging technical topics and build consensus.

Senior Staff Machine Learning Engineer – Foundational Models

• Contribute to the technical direction of the team and broader perception org on leveraging foundational models and related techniques.
• Design and implement offboard pipelines to train, distill, evaluate and serve Machine Learning Models.
• Demonstrate that these pipelines work with open source data and contribute to open-source libraries.
• Proactively identify opportunities for improvements and work with leadership team on prioritization of resolutions.
• Align stakeholders with strong presentation and communication skills.
• Lead challenging technical topics and build consensus.

Staff Machine Learning Engineer – Foundational Models

Analyst

• Collaborate with Autonomy and Operations teams to review and annotate events of interest from real-world driving and simulation.
• Annotate events with contextual information, adhering to Stack's Triage Policy & Guidelines.
• Utilize data visualization tools to categorize events by issue type and priority.
• Process detailed guideline documentation and use various review tools (video, textual, numerical data) to accurately categorize AV events.
• Assemble and present performance reports on the self-driving system using Triage data.

Triage Analyst

Full-stack Engineer

• Stack is developing revolutionary AI and advanced autonomous systems for autonomous trucking.
• Dynamic World Perception team responsible for real-time detection and classification of road actors and properties.
• Lead development, maintenance, and enhancement of long-range detection capabilities and occupancy networks.
• Expand and fuse detection models, improve model frameworks, architecture, and data pipelines.
• Develop robust onboard software optimized for real-time, resource-constrained, safety-critical environments.
• Drive cross-functional features from problem statement to delivery and contribute to technical direction.
• Align stakeholders, present effectively, and lead challenging technical topics to build consensus.

Senior Staff Machine Learning Engineer – Foundational Models

Staff Machine Learning Engineer – Foundational Models

Triage Analyst

Staff Software Engineer, Dynamic World Perception