Senior Machine Learning Engineer
Collectors Universe, Inc.6 days ago
Remote, United StatesSenior
Responsibilities
- Design, build, and deploy end-to-end machine learning systems for 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 pipeline solutions that produce reliable structured outputs.
- Build and improve data pipelines, model evaluation frameworks, and feedback loops for accurate and maintainable training and inference systems.
- Define data requirements, labeling standards, success metrics, and rollout plans with annotation, operations, product, and domain teams.
- Translate experimental findings into recommendations that balance model quality, latency, cost, and operational complexity.
- Contribute production code, documentation, technical designs, design reviews, and code reviews.
Requirements
- 5+ years of experience in machine learning, applied AI, or a closely related software engineering field.
- Hands-on experience building and shipping production machine learning systems, including data preparation, training, evaluation, deployment, and monitoring.
- Proficiency in Python and common ML tooling, with solid software engineering fundamentals including testing, modular design, observability, and version control.
- Experience in one or more of computer vision, multimodal modeling, information extraction, search/retrieval, or LLM-based systems.
- Ability to define statistically sound evaluation methodologies and make data-driven model-readiness decisions.
- Strong system-design judgment focused on scalable, maintainable, and practical solutions.
- Clear written and verbal communication skills for technical and non-technical stakeholders.
- Ability to work independently, navigate ambiguity, and drive projects to completion.
- Preferred: experience with image-heavy or quality-sensitive domains, agentic systems, tool-using LLMs, verification loops, cloud ML infrastructure, experiment tracking, production inference, or human-in-the-loop operations.
- Interest in collectibles, trading cards, marketplaces, or trust-and-safety problems is preferred.
Benefits
- The company has offices across the United States and internationally; remote-role candidates may be asked to participate in an on-site final interview.
- Video interviews require cameras to be on, with some interview steps potentially conducted by phone.
- Collectors provides accommodation support for candidates with disabilities or special needs.
- Collectors uses e-Verify to validate legal ability to work in the United States.
Tech Stack
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