GBG Plc · 2 weeks ago
Senior CV / ML Engineer (3968)
United States
Full-time
Remote
Senior LevelGBG Plc is focused on enabling safe and rewarding digital lives for genuine people everywhere. The Senior CV/ML Engineer will design, develop, and improve machine learning and computer vision models, working closely with the team to translate product requirements into robust ML solutions.
Big DataElectronicsProperty & Casualty InsuranceInformation TechnologyArtificial Intelligence (AI)SoftwareAnalyticsComputerData IntegrationFraud DetectionInformation ServicesMachine LearningSecurity
Responsibilities
Design, implement, and optimize state‑of‑the‑art machine learning and computer vision models to enhance product capabilities
Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision‑language models
Implement and benchmark newly developed algorithms on large‑scale datasets, validating both accuracy and throughput
Fine‑tune large‑scale models using efficient adaptation techniques such as LoRA and QLoRA
Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC‑AUC, confusion matrices)
Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks
Propose and implement data‑driven enhancements to model accuracy, robustness, and system stability
Support end‑to‑end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement
Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery
Assist in diagnosing and resolving model performance regressions and production issues
Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration
Participate in design reviews, technical discussions, and knowledge‑sharing initiatives to raise overall team capability
Contribute actively to Agile ceremonies and collaborative problem‑solving efforts
Proactively suggest improvements to existing models, workflows, tools, and product features
Collaborate effectively with engineering, product, and data stakeholders to deliver high‑impact ML solutions
Maintain awareness of emerging ML and computer vision trends and assess their applicability to real‑world problems
Qualification
Required
Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience
Strong hands‑on experience developing and deploying machine learning models in production environments
Advanced understanding of supervised, unsupervised, and semi‑supervised learning techniques
Expertise in classification, regression, clustering, and anomaly detection
Solid experience with convolutional neural networks, recurrent neural networks, and transformer‑based models
Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus)
Hands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning
Experience using computer vision and scientific computing libraries such as OpenCV
Familiarity with model deployment, monitoring, and CI/CD workflows
Prior experience mentoring or technically guiding other ML engineers
Able to balance research‑driven exploration with pragmatic, production‑focused execution
Preferred
Beneficial to have experience working with large‑scale datasets and performance‑critical ML systems
Beneficial to have exposure to production MLOps practices and model lifecycle management
Company
GBG Plc
GBG is the leading expert in global identity and location tech, enabling safe and rewarding digital lives for genuine people, everywhere.
Founded in 1989
1001-5000 employees
H1B Sponsorship
GBG Plc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
50%
Represents job field similar to this job
Engineering and Development
Customer Service and Support
Management and Executive
Trends of Total Sponsorships
*2021 (1)
2020 (3)
Funding
Current Stage
Public CompanyTotal Funding
$350.01M2026-03-27Post Ipo Debt· $232.99M
2021-12-09Post Ipo Equity· $117.02M
2010-08-27IPO
Leadership Team
Arlene Prieto
Business Development- Global Embedded Partnerships
Craig Sorrell
Demand Generation - Partner Marketing Manager - Location Intelligence
Recent News
MarketScreener
2026-06-18
BiometricUpdate.com
2026-06-04
MarketScreener
2026-06-02
Company data provided by crunchbase