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Software Engineer (Applied ML/Computer Vision) jobs in United States
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RockMass Technologies · 13 hours ago

Software Engineer (Applied ML/Computer Vision)

GroundedAI builds software systems that turn complex, real-world data into reliable insights. They are seeking a Software Engineer to join their core product engineering team, focusing on building and owning production systems that incorporate machine learning and computer vision components.
3D TechnologyData Collection and LabelingMiningMining Technology

Responsibilities

Design, implement, and maintain production software systems that power GroundedAI’s products
Build backend services and pipelines that support data processing, model training, and inference
Integrate computer vision and ML components into user-facing applications
Improve system performance, reliability, and observability in production environments
Collaborate with product, ML, and frontend engineers to deliver end-to-end features
Debug and resolve complex production issues across services, data, and infrastructure
Contribute to technical design discussions and help evolve engineering best practices

Qualification

PythonProduction systemsMachine learningComputer visionDockerCloud infrastructureAPIsDebuggingTestingCode qualityCollaboration

Required

~5 years of professional experience as a software engineer (backend, platform, or product)
Strong fundamentals in software design, debugging, testing, and code quality
Experience building and operating production systems used by real users
Proficiency in Python and experience with modern development workflows (Git, CI/CD)
Comfort working with APIs, services, and data pipelines
Experience deploying software using Docker and cloud infrastructure (AWS, GCP, or Azure)
Ability to collaborate across disciplines and take ownership of technical problems

Preferred

Experience working with ML-backed or data-driven systems in production
Familiarity with computer vision concepts such as image segmentation, feature extraction, or object detection
Exposure to ML frameworks like PyTorch or TensorFlow
Experience working with large datasets, geospatial data, or 3D / point-cloud data

Benefits

Competitive compensation and benefits
Flexible hybrid / remote work options
Support for learning, experimentation, and professional growth

Company

RockMass Technologies

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RockMass Technologies provides geologists with data collection tools to rapidly collect structural data for mines and tunnels.

Funding

Current Stage
Early Stage
Total Funding
$2.38M
Key Investors
Mining Innovation Commercialization AcceleratorSOSV
2024-11-05Seed
2023-08-03Seed
2023-06-22Grant· $0.44M

Leadership Team

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Shelby Yee
Co-Founder & CEO
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Stuart Bourne
Co-Founder and CTO
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Company data provided by crunchbase