Machine Learning / Computer Vision

Chabez-Tech; Hillsboro (OR); On-site; USD 140,000 - 190,000; Full time

Job summary

Chabez-Tech in Hillsboro, OR is seeking a Machine Learning / Computer Vision engineer for a 3-year onsite contract. You will develop and optimize ML models, applying CNNs and Vision Transformers (ViT) to real-world data.

The role requires 5+ years hands-on ML/CV, strong Python and PyTorch skills, and experience with model validation, data quality, and deployment readiness. Collaboration with data scientists and engineers across product teams is essential to deliver robust AI capabilities.

Qualifications

• Minimum 5+ years hands-on ML/CV experience.
• Proficient in Python; strong in PyTorch.
• Experience with CNNs and Vision Transformers (ViT).
• Experience with large, messy, or domain-specific datasets.
• Experience validating models and experiments.

Skills

5+ years hands-on ML/CV experience

Python programming

PyTorch

CNNs

Vision Transformers

Image Classification

Detection

Metric Learning

Few-shot Learning

Self-Supervised Learning

Model Calibration

Uncertainty Detection

MLOps

Model Lifecycle

Data quality

Job description

Role: Machine Learning / Computer Vision
Location: Hillsboro OR - Onsite (Local preference)
Duration: 3 years Contract

Must-Have Skills

• 5+ years of hands‑on ML/Computer Vision experience.
• Strong Python programming.
• Strong experience with PyTorch or similar deep-learning frameworks.
• Knowledge of modern Computer Vision architectures: CNNs, Vision Transformers (ViT).
• Strong experience in at least 2 of the following:
  • Image Classification / Detection
  • Metric Learning / Embeddings / Similarity Search
  • Few‑Shot / Self‑Supervised Learning
  • Model Calibration / Uncertainty / Novelty Detection
  • MLOps / Model Lifecycle
• Strong understanding of model validation, experimentation, and data quality.
• Experience working with large, messy, or domain‑specific datasets.

Additional Information

All your information will be kept confidential according to EEO guidelines.