Data Scientist, Computer Vision

Position Overview

BWXT Advanced Technologies is seeking a Data Scientist, Computer Vision (Classification & Deep Learning) to design, train, evaluate, and product ionize image classification models that power critical decisions across our products and operations. You will own datasets, modeling, and deployment for robust, scalable visual classification—delivering measurable accuracy, reliability, and latency improvements.

• Lead end-to-end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment, and monitoring.
• Develop modern deep learning models using CNNs (Res Net/Efficient Net) and Vision Transformers (ViT/Swin), leveraging transfer learning, fine-tuning, and self/weakly supervised methods.
• Handle imbalanced/noisy/multi‑label data with class‑aware sampling, focal/cost sensitive losses, label smoothing, and advanced augmentations (Rand Augment, Mix Up, Cut Mix).
• Establish rigorous evaluation: precision/recall, F1, ROC/PR AUC, calibration, confusion analysis, per‑class metrics, subgroup fairness, and stress testing for lighting, occlusion, motion blur, and device variation.
• Build data & experiment pipelines: image ingestion, labeling QC, dataset versioning, and experiment tracking with automated reproducibility.
• Deploy services, implement drift detection and alerting, schedule retraining, support A/B tests and human‑in‑the‑loop review.
• Collaborate cross‑functionally with data engineering, product, operations, and quality to integrate outputs into workflows and dashboards.

• A bachelor’s degree in computer science, electrical engineering, physics, or a related field.
• Minimum of six years of building and deploying computer vision classification models in production or related work.
• Strong experience with PyTorch (preferred) or Tensor Flow/Keras; proficiency in Python (Num Py/Pandas); and familiarity with scikit‑learn for baselines and metrics.
• Hands‑on experience with OpenCV, torchvision/timm, albumentations; image pre/post processing and dataset curation.
• Demonstrated expertise with CNNs & Vision Transformers, transfer/self‑supervised learning, mixed‑precision training, and training efficiency.
• Experience exporting and serving models (ONNX, Tensor
  
  RT/OpenVINO); containerization (Docker); and CI/CD for ML services.
• Excellent communication skills to translate model results into actionable product/operations insights.
• Deep understanding of image classification theory and practice: loss functions, optimization, augmentation, calibration, and thresholding.
• Strong software engineering discipline: code reviews, testing, logging/observability.
• Proficient in experiment design, statistical analysis, and scientific communication.
• Strong understanding of security/privacy best practices for visual data (PII/PHI as applicable).
• U.S. citizen; able to obtain and maintain a U.S. DOE or DOD security clearance.

• MS/PhD in Computer Science, Electrical Engineering, Physics, or a related field.
• Edge inference (NVIDIA Jetson/ARM), streaming pipelines, or multi‑camera systems.
• Experience with data labeling operations (CVAT/Label Studio), quality control, and consensus strategies.
• Expertise in robustness to domain shift; techniques for generalization across environments/devices.
• Experience with weak supervision, active learning, or semi‑automated data curation.
• Interpretability (Grad‑CAM), calibration, and documentation (model cards, datasheets).

• Competitive salary and benefits package, including health, dental, and retirement plans.
• Flexible work schedules and paid time off to promote a healthy work‑life balance.
• Professional development opportunities, including mentorship programs and sponsorship for continuing education.
• An inclusive atmosphere that celebrates new perspectives and supports collaboration across generations.
• The chance to be part of a mission‑driven organization making a positive impact on the future of energy.
• Opportunities for continuous learning and training to grow throughout your career.

Pay: $76,000.00 – $ per year. The base salary range is based on local job market factors and may vary based on candidate qualifications and experience. Additional compensation may include an annual cash incentive and the full range of benefits outlined above.

BWXT is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company‑sponsored training and social recreational programs are administered without regard to race, color, religion, sex, national origin, citizenship, age, disability, protected veteran or other protected status.