[Hiring] Computer Vision Engineer @Morningside Group

Role Description

We're looking for a part-time Computer Vision Engineer (16-24 hours per week) to work alongside our engineering team on a growing portfolio of CV projects. This is an initial engagement of a couple of months with strong potential to continue for the right person - we have consistent and expanding CV work and want someone who can grow with us.

You won't be handed a fully scoped ticket. You'll be working on hard problems with real-world data, and you'll need to make good judgments about where to spend time and when to pivot.

What You'll Work On

• Object detection and counting pipelines on complex, domain-specific image inputs
• Evaluating and combining classical CV, few-shot detection, and fine-tuned model approaches depending on what the data and constraints call for
• Tiled inference pipelines to handle large, high-resolution images
• Annotation workflows and custom model training on domain-specific datasets
• Accuracy evaluation, failure mode analysis, and documentation
• Supporting LLM/VLM integration for classification, edge case handling, and verification layers where relevant

Qualifications

• Hands-on production experience with computer vision — object detection, classification, counting, or segmentation using OpenCV, PyTorch, or similar
• Experience with detection architectures like YOLO, Faster R-CNN, or Mask R-CNN, and the judgment to choose between them based on the problem
• Comfortable working with domain-specific or limited training data — you know how to get results without 10k labeled examples
• Python fluency across the full ML lifecycle: data prep, training, evaluation, inference
• You work independently, flag blockers early, and don't need constant direction

Nice To Haves

• Experience with few-shot or zero-shot detection approaches (T-Rex2, GeCo, or similar)
• Familiarity with tiled inference strategies for large image inputs
• Experience with synthetic data generation for model training
• LLM/VLM integration experience (Claude, GPT-4o, or similar) as a supporting layer alongside CV pipelines
• Prior work on technical drawings, scanned documents, or other non-photographic image inputs
• Experience with annotation tooling and managing labeling workflows
• Generative AI or RAG pipeline experience
• MLOps or model serving experience — containerizing models, deploying on AWS/GCP, managing inference at scale
• Consulting or agency background where you've had to explain technical tradeoffs to non-technical stakeholders

The Details

• Part-time: 16-24 hours per week, flexible scheduling
• Remote, async-first
• Initial engagement of a couple of months, with strong likelihood of ongoing work
• Competitive hourly rate

Location

Warsaw, Masovian Voivodeship (Remote)

Department

Morningside AI

Employment Type

Part-Time

Minimum Experience

Experienced