Computer Vision Engineer
$175,000 - $250,000/year
1 Nov 2025
Boston, MA, USA
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
90 / 100
Offer value
This role offers significant growth potential within a unique niche, competitive compensation, and direct involvement in pioneering technologies.
- Competitive salary $175,000 - $250,000/year with equity.
- Opportunity for significant impact in an innovative industry.
- Hands-on role in a startup environment focusing on computer vision technology.
Pros
- Participation in innovative projects at a venture-backed startup.
- Competitive salary with equity options reflecting startup risks and rewards.
- Hands-on role in shaping the future of asset valuation in the auction industry.
Cons
- Startup environment may involve higher uncertainty.
- Expectation to ramp up quickly may be challenging.
- Potential for long hours in a rapidly evolving industry.
Who it's for
Mid to Senior Level • Hybrid with in-office expectations
Good fit
- Individuals with a strong foundation in computer vision and deep learning.
- Engineers excited to influence transformative technology in a startup.
- Candidates ready to tackle challenging problems in a fast-moving field.
Not recommended for
- Candidates without experience in machine learning or computer vision.
- Those who prefer established corporate structures.
- Individuals seeking predictable work hours and tasks.
Motivation fit
Excitement about applying AI and computer vision to unique asset classes.Desire to contribute to groundbreaking technology within the auction and collectibles market.Interest in working closely with founding members in a small team.
Key skills
Computer vision technologiesMachine learning applicationsData pipeline managementModel evaluation and monitoring
Score: 90/100 AI verified analysis
About the job
Computer Vision Engineer
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Interested in this role? Email us at careers@varderalabs.com
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
Design and deploy computer vision systems that identify, grade, and authenticate physical assets across categories like coins, comics, jewelry, and fine art.
Build and fine-tune multimodal models that combine visual, textual, and structured data to deliver accurate, explainable outputs.
Prototype rapidly: leverage foundation models, open-source frameworks, and custom training pipelines to reach production-ready performance quickly.
Define and evolve accuracy and quality metrics beyond standard loss functions — optimizing for the real-world economics of error and trust.
Create robust evaluation and monitoring pipelines that track performance by category, lighting condition, and visual defect type.
Work directly with founders and customers to turn ambiguous problems into measurable, repeatable, high-accuracy solutions.
Hustle on speed: ship usable models in days/weeks, not months, while stacking learnings into a long-term defensible data moat.
What We’re Looking For
Strong foundation in computer vision, deep learning, and applied ML (e.g., segmentation, detection, embedding models).
Experience with modern CV toolkits — PyTorch, YOLO, SAM, Detectron, CLIP, or similar.
Comfort working across image data pipelines, from annotation strategy to model deployment and feedback loops.
Pragmatic engineer who balances rigor with velocity: knows when to experiment, when to productionize, and when “good enough” drives impact.
Excitement to join a post-seed startup where model accuracy and innovation directly shape customer value.
Why Join
Founding-team impact at a venture-backed company redefining valuation, grading, and authentication for multi-trillion-dollar asset classes.
A chance to shape how computer vision and AI are applied to markets that have never had transparent or measurable standards.
Work directly with experienced founders (repeat founders, published AI research) in a culture that prioritizes autonomy, rapid iteration, and tangible results.
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.
