About Vardera Labs
Vardera Labs is building the next generation of infrastructure for the art, auction, and collectibles industry—combining cutting-edge AI, computer vision, and automation to power catalog creation, data strategy, and operational excellence for auction houses worldwide. We’re a small, venture-backed team with a bold mission: to modernize a multi-billion-dollar market at a critical moment of generational ownership transfer and digital transformation.
What You’ll Do
- Build and deploy AI/ML models across new asset categories (comics, cards, watches, jewelry, fine art, etc.).
- Balance from-scratch builds with leveraging foundation models and off-the-shelf tools — using the right approach for speed, accuracy, and efficiency.
- Prototype quickly, test with real customer data, and push to production.
- Design workflows that minimize wasted effort while compounding into long-term defensible data + model infrastructure.
What We’re Looking For
- Strong background in applied ML (vision, text, multimodal, embeddings, fine-tuning).
- Pragmatic decision-maker: knows when to train, when to adapt, and when to just glue things together.
- Builder mindset — bias toward action, rapid iteration, and comfort with messy or sparse data.
- Excited to join a post-seed startup as a founding team member with broad project ownership.
Why Join
- Direct founding-level impact in a venture-backed company already working with major customers.
- Build the models that expand us to multi-category AI infrastructure.
- See your models drive real-world revenue and efficiency in a multi-trillion-dollar industry.
Compensation
- Salary level matching seed-stage hires (relative to experience and fit): $175,000 - $250,000
- Equity: Meaningful early equity in a high growth startup
Location
Hybrid with periodic in-person offsites and industry conferences. While we have a bias towards in person in Boston, it’s not required everyday, but expected you spend >50% of your time in the office.
Skills Required
- Strong background in applied ML
- Experience with vision, text, and multimodal ML
- Ability to prototype quickly and push to production
- Experience working with real customer data
Vardera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vardera and has not been reviewed or approved by Vardera.
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Fair & Transparent Compensation — Pay is considered competitive for relevant roles and markets, aligning with expectations in the industry. Feedback suggests compensation is reinforced by a supportive culture that increases perceived total rewards value.
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Flexible Benefits — Work arrangements include hybrid and remote options that offer scheduling and location flexibility. This flexibility helps employees balance work demands with personal needs.
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Wellbeing & Lifestyle Benefits — Perks such as free lunches and office amenities enhance daily work experience and complement base compensation. These lifestyle benefits contribute to overall job satisfaction even when roles are demanding.
Vardera Insights
What We Do
Vardera builds the AI infrastructure layer for physical asset valuation. Our deep learning models identify, appraise, and authenticate high-value physical goods from a single image. We compress what used to require years of specialized human expertise into a sub-second API call — turning a subjective, offline workflow into structured, machine-readable intelligence that any platform can consume programmatically. Enterprises like eBay use Vardera to power accurate identification and pricing across millions of items. We're active across coins, trading cards, comics, toys, and jewelry, with signed contracts and proofs of concept already in production. Our reference dataset — built across 200 million+ items — is the core of our competitive moat, and it compounds with every transaction we process. The problem we're solving is foundational: the physical goods economy has never had a reliable, scalable valuation layer. Marketplaces guess. Insurers estimate. Retailers absorb shrink. We fix that. Think of what Stripe did for payments, or what Plaid did for financial data. We're building that infrastructure for the $8+ trillion in hard assets changing hands as industries built on decades of offline expertise go digital for the first time. We're a team of nine, based in Boston, and backed by Garuda Ventures and Rackhouse Ventures. We're pre-Series A, moving fast, and hiring across engineering, AI research, and operations.
Why Work With Us
Your work ships into production immediately — we have live enterprise contracts and a 200M+ item dataset that no competitor can replicate. You'll solve genuinely hard computer vision problems at a company small enough that your decisions shape the product, backed by investors who are pushing us to move fast.
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