Machine Learning EngineerVardera • Boston, MA, US
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Machine Learning Engineer
Vardera • Boston, MA, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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. 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. Salary level matching seed-stage hires (relative to experience and fit) : $175,000 – $250,000 Equity : Meaningful early equity in a high-growth startup
About Vardera Labs
At Vardera, we're 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 are a small, venture-backed team of operators and entrepreneurs 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
Why Join
Compensation
Location
Hybrid, with periodic in-person offsites and industry conferences. While we have a bias toward in-person in Boston, it's not required everyday, but we expect you spend >
50% of your time in the office.
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