Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and help people research and manage the items they care about most. Our products bring authentication, grading, and trading into the modern era and make complex collector data more accessible.
Our engineering mission is to build trusted, scalable systems that improve the experience for every collector.
We’re looking for a Senior Machine Learning Engineer to join our AI/ML team and build applied machine learning systems from prototype through production. This role is ideal for an engineer who is equally comfortable training and evaluating models, designing production-ready pipelines, and shipping tools that help internal teams make better decisions. You’ll work across computer vision, structured data, and agentic AI workflows, with direct impact on products used by graders, researchers, and collectors. You’ll partner closely with product, engineering, operations, and domain experts to turn ambiguous problems into measurable, reliable ML solutions.
What You’ll Do
Design, build, and deploy end-to-end machine learning systems that support AI/ML product initiatives
Own projects from problem framing through implementation, evaluation, launch, and post-launch monitoring, with clear accountability for outcomes
Develop production-grade computer vision, multimodal, and agentic pipeline solutions that can ingest images and other inputs, reason over uncertainty, and return structured, reliable outputs
Build and improve data pipelines, model evaluation frameworks, and feedback loops that ensure training and inference systems remain accurate, scalable, and maintainable over time
Partner with annotation, operations, product, and domain experts to define data requirements, labeling standards, success metrics, and rollout plans
Translate experimental findings into clear technical recommendations, balancing model quality, latency, cost, and operational complexity
Contribute high-quality code, documentation, and technical design artifacts, and collaborate effectively through design reviews, code reviews, and cross-functional discussions
What We’re Looking For
5+ years of experience in machine learning, applied AI, or a closely related software engineering field
Strong hands-on experience building and shipping machine learning systems in production, including data preparation, model training, evaluation, deployment, and monitoring
Proficiency in Python and common ML tooling, along with solid software engineering fundamentals such as testing, modular design, observability, and version control
Experience in one or more of the following areas: computer vision, multimodal modeling, information extraction, search/retrieval, or LLM-based systems
Demonstrated ability to define statistically sound evaluation methodologies and make data-driven decisions about model readiness and trade-offs
Strong judgment in system design, including how to build solutions that are scalable, maintainable, and practical for real-world operations
Clear written and verbal communication skills, with the ability to explain technical decisions to both technical and non-technical stakeholders
A high-ownership mindset with the ability to operate independently, navigate ambiguity, and drive work to completion
Nice to Have
Experience working on image-heavy or quality-sensitive domains such as computer vision inspection, authentication, fraud detection, or document/image understanding
Experience with agentic systems, tool-using LLMs, verification loops, or workflows that combine models with retrieval and structured outputs
Familiarity with cloud ML infrastructure, experiment tracking, and production inference patterns
Experience collaborating with human-in-the-loop operations, annotation teams, or domain specialists to improve model quality
Interest in collectibles, trading cards, marketplaces, or trust-and-safety style problems
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We are aware that there are instances where individuals are receiving job offers that fraudulently allege to be from Collectors or one of our business units. This type of fraud can be carried out through false websites, through fake e-mails claiming to be from the company or through social media. We never ask for personal information such as your bank account, Social Security numbers or National IDs, nor do we send or request payments for the purchase of business-related equipment. If you suspect fraud, please reach out to interviewfraud@collectors.com.
We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better service the diverse community of collectors we support.
If you require an accommodation to apply or interview with us due to a disability or special need, please email interviewaccommodation@collectors.com.
U.S. residents: for disclosures relating to personal information we collect during the employment application and recruitment process, please see our Privacy Notice for U.S. Applicants.
For New York Residents: In connection with hiring, Collectors Universe, Inc. uses an automated employment decision tool (Brighthire) to assist in evaluating candidates. Collectors Universe, Inc. began using this tool in October 2026. In accordance with NYC Local Law 144, a summary of the most recent independent bias audit of this tool is available from Brighthire . To request information about the type of data collected, its source, and our data retention policy, contact ta-operations@collectors.com.
