Senior ML Engineer - Production AI for Collectibles

Collectors; Illinois; On-site; USD 150,000 - 230,000; Full time

Job summary

Collectors is seeking a Senior Machine Learning Engineer to join our AI/ML team. You will build applied machine learning systems from prototype to production, spanning computer vision, multimodal data, and agentic AI workflows.

You will work with product, engineering, operations, and domain experts to turn ambiguous problems into measurable ML solutions. You’ll own end-to-end projects, develop scalable data pipelines, and ensure models meet performance, latency, and cost targets while

Qualifications

• 5+ years of experience in machine learning, applied AI, or a closely related software engineering field.
• Strong hands-on experience building and shipping ML systems in production, including data preparation, model training, evaluation, deployment, and monitoring.
• Proficiency in Python and ML tooling, with solid software engineering fundamentals such as testing, modular design, observability, and version control.
• Experience in computer vision, multimodal modeling, information extraction, search/retrieval, or LLM-based systems.
• Ability to define statistically sound evaluation methodologies and make data-driven decisions about model readiness and trade-offs.
• Strong judgment in system design, ensuring scalable, maintainable solutions for real-world operations.
• Clear written and verbal communication skills; high ownership and ability to operate independently.

Responsibilities

• Design, build, and deploy end-to-end ML systems that support AI/ML product initiatives.
• Own projects from problem framing through implementation, evaluation, launch, and post-launch monitoring.
• Develop production-grade computer vision, multimodal, and agentic pipelines that can ingest images and other inputs, reason over uncertainty, and return structured outputs.
• Build and improve data pipelines, model evaluation frameworks, and feedback loops for scalable training and inference.
• Collaborate with annotation, operations, product, and domain experts to define data requirements and success metrics.
• Translate experimental findings into clear technical recommendations balancing quality, latency, and cost.
• Contribute high-quality code, documentation, and design artifacts; participate in design and code reviews.

Skills

Machine Learning

Applied AI

Software Engineering

Python

Tools

Python

ML frameworks

Job description

Collectors is seeking a Senior Machine Learning Engineer to join our AI/ML team. You will build applied machine learning systems from prototype to production, spanning computer vision, multimodal data, and agentic AI workflows.

You will work with product, engineering, operations, and domain experts to turn ambiguous problems into measurable ML solutions. You’ll own end-to-end projects, develop scalable data pipelines, and ensure models meet performance, latency, and cost targets while