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Clera

Founding ML Engineer, Computer Vision (Object Detection)

remote
Salary
$200,000 - $260,000 annually
Level
Senior
Work type
Remote · North America
Visa
Not offered

Open. First seen 12 October 2026.

Apply on the company's site →

What this role asks for

Particular to this role

Computer Vision · TensorFlow

Rare in Clera's other 299 open postings.

Standard for data science / ML roles

Machine Learning · PyTorch

Common in data science / ML postings at any company.

Read against Clera's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 292 open in Engineering. 226 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (135 of 292), TypeScript (131 of 292), Python (123 of 292), React (107 of 292), Machine Learning (70 of 292), PostgreSQL (58 of 292), JavaScript (55 of 292)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

As the founding machine learning engineer focused on computer vision, you will set the technical direction for identifying items from images in an online marketplace. You will build and productionize models that distinguish fine-grained product details, with a focus on accuracy, calibrated confidence, and earning user trust.

What You'll Do

  • Design the computer vision architecture for fine-grained item identification, starting with foundation vision models and adapting them to a specific catalog.
  • Set accuracy standards by category and build confidence scoring that allows the product to communicate uncertainty.
  • Work with labeling partners to turn model errors into targeted data collection and labeling priorities.
  • Balance expanding category coverage with improving accuracy in existing categories.
  • Own the path from model development to production serving, including latency, cost, and reliability.
  • Explain the model's capabilities and limitations to technical and non-technical stakeholders.

What We're Looking For

  • At least 5 years of applied computer vision experience, including shipping systems to production at meaningful scale.
  • Hands-on experience with fine-grained or instance-level classification, where distinguishing similar items is important.
  • Production experience fine-tuning and deploying vision transformers or CNNs with PyTorch or TensorFlow.
  • Experience building evaluation frameworks, calibrated confidence scoring, and model-serving systems, including low-latency APIs.
  • Experience adapting foundation vision models to specific use cases, plus strong communication skills and comfort leading an open-ended technical problem.

Compensation & Benefits

Salary range: $200,000 to $260,000 USD annually. Visa sponsorship is not available.

Location

Remote within North America, including the United States.

Other openings for this role

2 open postings for this role in remote, first posted 6 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

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