Computer Vision Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Computer Vision Engineer based in the United States.

You will join a fast-paced, mission-driven environment focused on building advanced computer vision systems that power real-world applications in energy and infrastructure domains.
The role centers on designing and deploying AI-driven perception models that transform visual and spatial data into actionable insights.
You will work across the full ML lifecycle, from data collection and model training to deployment at scale in cloud-based environments.
The position involves solving complex problems in 3D reconstruction, photogrammetry, and spatial intelligence using modern deep learning techniques.
You will collaborate with multidisciplinary teams to integrate computer vision systems into scalable production-grade platforms.
This is a highly impactful role where your work directly contributes to improving efficiency, safety, and sustainability in field operations.

Accountabilities:

• Design, develop, and deploy computer vision models for real-world applications including object detection, segmentation, and 3D scene understanding.
• Train and fine-tune AI models using custom datasets, ensuring high performance and robustness in production environments.
• Work on Structure-from-Motion, 3D reconstruction, photogrammetry, point cloud processing, and mesh generation workflows.
• Develop and maintain scalable backend systems using microservice architecture, APIs, and NoSQL databases.
• Deploy and optimize applications in cloud environments, ensuring reliability and performance at scale.
• Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end platforms.

Requirements:

• Proven experience building and deploying computer vision solutions for real-world use cases.
• Strong proficiency in Python and C++, with hands-on experience using OpenCV, PyTorch, and related frameworks.
• Solid understanding of deep learning architectures for object detection, segmentation, and related vision tasks.
• Experience working with 3D vision topics such as SLAM, photogrammetry, and spatial reconstruction.
• Familiarity with geospatial data, point clouds, and visual-inertial systems.
• Knowledge of cloud platforms and production deployment practices.
• Experience with microservices, APIs, and NoSQL databases in production systems.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field preferred.
• Self-starter mindset with strong ownership, resilience, and a collaborative attitude.
• Ability to work effectively in EST working hours to collaborate with international teams.

Benefits:

• Competitive salary range: $120,000 – $130,000 (semi-monthly structure).
• 100% remote work flexibility.
• Flexible paid time off (PTO).
• Comprehensive medical, dental, vision, and life insurance coverage.
• People-first culture emphasizing collaboration and inclusivity.
• Opportunity to work on cutting-edge AI and 3D computer vision technologies.
• Mission-driven work contributing to clean energy and sustainability impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.