Remote Computer Vision Research Engineer Jobs
Remote Computer Vision Research Engineer jobs are open across the U.S. at remote-first firms and distributed research teams in sectors including autonomous systems, healthcare AI, and defense technology. Employers hiring remotely right now include Busigence Technologies, Anduril, and BV Teck. Find a role that fits below and apply directly.
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Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.
Job Title: Computer Vision Engineer
Location: Remote
Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]
Salary Range: $115,000–$165,000 Annually
Experience Required: 5+ years
Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.
Job Summary
Bright Vision Technologies is seeking a Computer Vision Engineer to develop image and video analysis solutions for enterprise applications. The engineer will prepare visual datasets, build and evaluate computer vision models, optimize inference workflows, and collaborate with software and data teams to integrate reliable visual intelligence into production systems.
Key Responsibilities
Develop computer vision pipelines for image classification, object detection, segmentation, or visual inspection use cases.
Prepare, annotate, validate, and augment image or video datasets for model development.
Train, fine-tune, and evaluate models using appropriate architectures and task-specific metrics.
Optimize model inference for accuracy, throughput, latency, and deployment constraints.
Integrate vision models into APIs, batch workflows, or edge/application environments and document model performance.
Required Qualifications
Experience Required: typically 5+ years in computer vision, machine learning, or image-processing engineering; align with the approved requisition.
Strong Python programming and experience with OpenCV and image-processing workflows.
Hands-on knowledge of PyTorch or TensorFlow for developing or fine-tuning vision models.
Understanding of image classification, object detection, segmentation, data augmentation, and evaluation metrics.
Experience preparing and analyzing image or video datasets and diagnosing model performance issues.
Working knowledge of model deployment, REST APIs, Git, and software testing practices.
Strong analytical, debugging, experimentation, and communication skills.
Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.
Preferred Qualifications
Experience with YOLO, Detectron2, torchvision, or comparable computer vision frameworks.
Exposure to GPU inference optimization, ONNX, TensorRT, or edge deployment.
Familiarity with cloud ML platforms, data labeling workflows, and model monitoring.
Relevant computer vision, machine learning, or cloud certification.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact Jennifer at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.
Job Title: Computer Vision Engineer
Location: Remote
Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]
Salary Range: $115,000–$165,000 Annually
Experience Required: 5+ years
Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.
Job Summary
Bright Vision Technologies is seeking a Computer Vision Engineer to develop image and video analysis solutions for enterprise applications. The engineer will prepare visual datasets, build and evaluate computer vision models, optimize inference workflows, and collaborate with software and data teams to integrate reliable visual intelligence into production systems.
Key Responsibilities
Develop computer vision pipelines for image classification, object detection, segmentation, or visual inspection use cases.
Prepare, annotate, validate, and augment image or video datasets for model development.
Train, fine-tune, and evaluate models using appropriate architectures and task-specific metrics.
Optimize model inference for accuracy, throughput, latency, and deployment constraints.
Integrate vision models into APIs, batch workflows, or edge/application environments and document model performance.
Required Qualifications
Experience Required: typically 5+ years in computer vision, machine learning, or image-processing engineering; align with the approved requisition.
Strong Python programming and experience with OpenCV and image-processing workflows.
Hands-on knowledge of PyTorch or TensorFlow for developing or fine-tuning vision models.
Understanding of image classification, object detection, segmentation, data augmentation, and evaluation metrics.
Experience preparing and analyzing image or video datasets and diagnosing model performance issues.
Working knowledge of model deployment, REST APIs, Git, and software testing practices.
Strong analytical, debugging, experimentation, and communication skills.
Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.
Preferred Qualifications
Experience with YOLO, Detectron2, torchvision, or comparable computer vision frameworks.
Exposure to GPU inference optimization, ONNX, TensorRT, or edge deployment.
Familiarity with cloud ML platforms, data labeling workflows, and model monitoring.
Relevant computer vision, machine learning, or cloud certification.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact Jennifer at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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Find JobsRemote Computer Vision Research Engineer Job Market
Who's Hiring
Top Industries Hiring
- Manufacturing
What Employers Look For
The qualifications that appear most often in remote computer vision research engineer jobs.
- Advanced degree in computer science, electrical engineering, or a related field
- Proficiency in PyTorch or TensorFlow for training and fine-tuning vision models
- Experience with object detection, segmentation, or 3D scene understanding
- Strong C++ or Python skills for algorithm implementation and optimization
- Familiarity with CUDA programming and GPU-accelerated inference pipelines
- Published research or demonstrated project work in computer vision or deep learning
Tips for Your Remote Computer Vision Research Engineer Job Search
Build a portfolio that proves remote output
Host reproducible experiments on GitHub with clear README documentation, training logs, and benchmark results. Remote hiring managers for computer vision roles evaluate your ability to communicate technical work in writing, and a well-structured repository does that before the first interview.
Apply early to remote roles that fit
Migrate Mate lists remote computer vision research engineer openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through non-remote listings mixed in from other sources.
Highlight async collaboration tools in applications
Remote computer vision teams coordinate model reviews and experiment tracking through tools like Weights and Biases, DVC, and shared Jupyter environments. Naming specific tools you use daily signals to remote employers that you're already productive in a distributed research workflow.
Prepare to demo your work over video
Remote computer vision research interviews frequently include a live walkthrough of your model architecture or training pipeline on a shared screen. Practice narrating your design decisions clearly, because remote employers are evaluating both your technical depth and your ability to communicate complex work without a whiteboard.
Remote Computer Vision Research Engineer Jobs: Frequently Asked Questions
How do I get a remote computer vision research engineer job?
Remote computer vision research engineer roles go to candidates who can demonstrate deep technical output and operate without in-person oversight. Remote employers screen heavily for proficiency in PyTorch or TensorFlow, experience with model training pipelines, and a GitHub portfolio showing published or deployable work. Strong written communication and async collaboration habits give candidates a clear edge over equally skilled applicants who lack remote-ready work practices.
Which companies hire remote computer vision research engineers?
Employers currently hiring remote computer vision research engineers include Busigence Technologies, Anduril, and BV Teck, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, distributed AI research labs, and product teams in autonomous systems and medical imaging are the most consistent sources of fully remote openings for this role.
Can you get a remote computer vision research engineer job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal onboarding support. Early-career candidates can target remote-first startups building computer vision products, where a strong GitHub portfolio, published Kaggle notebooks, or an open-source contribution to a vision library can substitute for professional experience and open the door to a first remote role.
Do you need a degree for remote computer vision research engineer jobs?
Not always. Many remote employers care far more about demonstrated research output than formal credentials, especially at companies where peer code review and reproducible results are the standard. A published paper, a well-documented model on a public repository, or verifiable contributions to a production computer vision system can carry as much weight as a graduate degree in remote hiring decisions.
Which industries hire the most remote computer vision research engineers?
Remote computer vision research engineer roles concentrate in Manufacturing, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed research teams that prototype, train, and evaluate vision models collaboratively across time zones without requiring engineers to be on-site.
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