Founding ML Engineer, Computer Vision

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Founding ML Engineer, Computer Vision in USA new

Clera
Full time
Email

USA
10/04/2026
Report

San Francisco, CA

Responsibilities

Design computer vision architectures for fine-grained item identification using foundation vision models adapted to the marketplace catalog.
Set category-specific accuracy standards and build calibrated confidence scoring to communicate prediction uncertainty.
Develop model-error feedback loops to prioritize future labeling with the labeling team.
Balance category coverage expansion against accuracy improvements in existing categories.
Own the transition from model development to production serving while managing latency, cost, and reliability.
Explain model capabilities, limitations, and technical tradeoffs to technical and non-technical stakeholders.

Requirements

At least 5 years of applied computer vision experience, including shipping a production system at meaningful scale.
Hands-on experience with fine-grained or instance-level classification involving visually similar items.
Strong fluency in PyTorch or TensorFlow and practical experience fine-tuning and deploying vision transformers or CNNs.
Experience designing and running vision model evaluations beyond loss metrics.
Experience owning model serving decisions involving latency, cost, reliability, and calibrated confidence scoring.
Ability to take technical ownership of open-ended problems and communicate tradeoffs clearly.
Experience with active learning, human-in-the-loop labeling, low-latency model APIs, or an early-stage startup is a plus.

Benefits

Annual base salary of $200,000 to $260,000.
On-site role in San Francisco, California, United States.

Salary: $200k - $260k/yr

Clera

Clera harnesses the power of artificial intelligence to match high-growth startups with exceptional talent, streamlining the entire headhunting process. This innovative approach simplifies the job search for candidates while providing startups with access to a curated pool of skilled professional...

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