Senior ML Engineer: Production AI & Vision Systems

Collectors Universe, Inc.

California (MO)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Collectors is seeking a Senior Machine Learning Engineer to join our AI/ML team and build applied ML systems from prototype through production. You will work across computer vision, structured data, and agentic AI workflows, shipping tools that help graders, researchers, and collectors.

You’ll partner with product, engineering, operations, and domain experts to turn ambiguous problems into measurable, reliable ML solutions, and contribute high-quality code, documentation, and design artifacts.

Qualifications

  • 5+ years of experience in machine learning or applied AI.
  • Hands-on experience shipping ML systems in production.
  • Proficient in Python and standard ML tooling; strong software basics.
  • Experience in computer vision, multimodal, or information extraction is a plus.

Responsibilities

  • Design, build, and deploy end-to-end ML systems for AI/ML product initiatives.
  • Own projects from framing to launch and monitoring with outcomes.
  • Develop production-grade CV, multimodal, and agentic pipelines.
  • Build data pipelines and evaluation frameworks for scalable training and inference.
  • Collaborate with annotation, product, and domain experts to define data needs and metrics.
  • Translate findings into technical recommendations balancing quality, latency, cost.

Skills

Machine Learning
Python
Production Systems
Data Pipelines
Model Evaluation

Tools

TensorFlow/PyTorch
Version Control
Cloud ML Infrastructure

Job description

Collectors is seeking a Senior Machine Learning Engineer to join our AI/ML team and build applied ML systems from prototype through production. You will work across computer vision, structured data, and agentic AI workflows, shipping tools that help graders, researchers, and collectors.

You’ll partner with product, engineering, operations, and domain experts to turn ambiguous problems into measurable, reliable ML solutions, and contribute high-quality code, documentation, and design artifacts.

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