Mid Level Computer Vision Engineer Jobs
Mid level computer vision engineer jobs go to engineers ready to own projects end to end, drive technical decisions with limited oversight, and begin mentoring junior teammates. Roles are spread across on-site, remote, and hybrid settings in Consulting & Professional Services, Technology & Software, and Electronics & Hardware, with employers like Dexterity, MOLG, and Mill hiring at this level now.
Find JobsOverview
Showing 5 of 14+ Mid Level Computer Vision Engineer jobs











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.
Kindly share resume at rakesh@chabeztech.com
All your information will be kept confidential according to EEO guidelines.
See All 14 Mid Level Computer Vision Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Computer Vision Engineer Job Market
Who's Hiring



Top Industries Hiring
- Consulting & Professional Services
- Technology & Software
- Electronics & Hardware
- Automotive
- Telecommunications
Mid Level Computer Vision Engineer Jobs: Frequently Asked Questions
How do I get a mid level computer vision engineer job?
Position your experience around project ownership rather than task completion. Highlight systems you built or improved from problem definition through deployment, not just code you contributed to. Demonstrate familiarity with production-grade pipelines, model optimization, and cross-functional collaboration. Applications that show you operated with real autonomy and delivered measurable outcomes stand out most at this level.
Which companies hire mid level computer vision engineers?
Companies hiring mid level computer vision engineers right now include Dexterity, MOLG, and Mill, based on current listings on Migrate Mate as of September 2026. Hiring covers technology companies, automotive and robotics firms, healthcare imaging providers, and defense contractors, all of which deploy computer vision at scale and need engineers who can own meaningful pieces of that work.
Are there remote mid level computer vision engineer jobs?
Yes, though availability varies by industry and role type. About 0% of mid level computer vision engineer openings are remote or hybrid as of September 2026, with hardware-dependent roles in robotics and manufacturing more likely to require on-site presence. Software-focused vision roles at tech and data companies tend to offer the most flexibility.
How do I move up to a mid level computer vision engineer role?
The path from entry level to mid level is built on deepening specialization and taking on progressively larger ownership. Focus on leading a project feature from design through deployment, learning to optimize models for real-world constraints like latency and accuracy tradeoffs, and demonstrating that you can work through ambiguity without constant direction. Measurable impact in a production environment signals readiness.
Which industries hire the most mid level computer vision engineers?
Mid Level computer vision engineer roles concentrate in Consulting & Professional Services, Technology & Software, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. These sectors share a common need for engineers who can move beyond proof-of-concept work and maintain reliable, scalable vision systems in demanding real-world conditions.