Machine Learning Engineer

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.

What we do

At Vardera, we build deep learning models that appraise, grade, and authenticate physical goods from a single image. Our models transform subjective, expert-driven workflows into structured, machine-readable intelligence.

Marketplaces, retailers, and brands use Vardera to reduce fraud, accelerate intake, improve listing quality, and unlock pricing transparency across coins, trading cards, comics, toys, cosmetics, and other high-value goods.