Founding Computer Vision ML Engineer - Remote

Openkrill; United States; Remote; USD 200,000 - 260,000; Full time

Job summary

Openkrill is seeking a founding machine learning engineer to steer computer vision for a resale marketplace. You will build and productionize models that identify items from images with high accuracy to support pricing and customer decisions.

You will own from research to production, including latency, cost, and reliability, while communicating capabilities and tradeoffs to stakeholders. This fully remote role is open to North America-based candidates.

Qualifications

• 5+ years of applied computer vision experience.
• Experience with fine-grained or instance-level classification.
• Proficiency with PyTorch or TensorFlow, including fine-tuning and deploying vision transformers or CNNs.
• Experience building evaluation frameworks measuring real-world model performance.
• Ability to communicate tradeoffs to non-technical stakeholders.
• Experience with active learning or HITL labeling, and low-latency model APIs.

Responsibilities

• Design computer vision architecture for fine-grained item identification, building on foundation models and adapting them to a specific catalog.
• Define accuracy standards by category and develop calibrated confidence scores so the product can recognize when it is uncertain.
• Build feedback loops that use model errors to guide future labeling and model improvement.
• Set priorities between expanding category coverage and improving accuracy in existing categories.
• Own the path from research to production, including model serving latency, cost, and reliability.
• Communicate model capabilities and limitations to technical and non‑technical stakeholders.

Skills

Applied computer vision

Production deployment

Fine-grained classification

PyTorch

TensorFlow

Evaluation frameworks

Stakeholder communication

Active learning

Job description

Openkrill is seeking a founding machine learning engineer to steer computer vision for a resale marketplace. You will build and productionize models that identify items from images with high accuracy to support pricing and customer decisions.

You will own from research to production, including latency, cost, and reliability, while communicating capabilities and tradeoffs to stakeholders. This fully remote role is open to North America-based candidates.