AI/ML Engineer (Computer Vision)

TL;DR

AI/ML Engineer (Computer Vision): Building and productionizing data processing, featurization, and inference pipelines for large-scale multimodal sensor data with an accent on scalable world understanding for autonomous systems. Focus on designing reliable inference frameworks, optimizing compute efficiency, and developing evaluation loops for embodied AI.

Location: Remote (US). If the candidate lives within a specific mile radius of a GM hub, they will be expected to report to the office three times a week.

Salary: $117,700–$221,400

Company

hirify.global is a global automotive leader committed to a future of zero crashes, zero emissions, and zero congestion.

What you will do

• Design and productionize large-scale multimodal data processing and featurization pipelines.
• Improve inference frameworks for computer vision models with a focus on reliability and operational simplicity.
• Drive scalability and cost efficiency across compute, throughput, and storage.
• Collaborate with machine learning and infrastructure teams to support rapid experimentation and production.
• Develop and refine evaluation methods for model quality and system-level performance.
• Define practical paths forward for ambiguous technical problems and move from prototype to production.

Requirements

• Must be based in the United States.
• BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or related field.
• Experience building production-grade data processing or machine learning pipelines at scale.
• Strong understanding of computer vision models and production deployment challenges.
• Experience with featurization, embedding, inference, or retrieval systems.
• Proven ability to work in fast-moving environments with incomplete information.

Nice to have

• Experience with world models or large-scale world understanding systems.
• Experience with simulation workflows or synthetic data systems.
• Experience with vector search or large-scale embedding infrastructure.
• Experience working on embodied AI or safety-critical machine learning applications.

Culture & Benefits

• Comprehensive health and wellbeing programs including medical, dental, and vision.
• Retirement savings plan and life insurance.
• Paid vacation and holidays.
• Tuition assistance programs and employee assistance programs.
• GM vehicle discounts.