AI/ML Engineer

Experience: 1-3 years of Relevant Industry Experience, * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computer Engineering, or a related field.

• Proficiency in Python for developing, testing, and deploying AI/ML models.
• Working knowledge of PyTorch or similar deep learning frameworks (e.g., TensorFlow, JAX) for building and training neural networks.
• Basic Experience with computer vision libraries and tools (e.g., OpenCV, scikit-image, PIL) for image processing and analysis.
• Understanding of deep learning architectures for detection and classification tasks, such as CNNs, YOLO, Faster R-CNN, or Vision Transformers.
• Awareness of evaluation metrics for detection and classification tasks (e.g., mAP, precision, recall, F1-score, IoU).
• Introductory grasp of handling imbalanced datasets and techniques like transfer learning or fine-tuning pre-trained models.
• Optional: Completed coursework in artificial intelligence (AI) or related topics, including hands-on projects.
• Optional: Performed research in or independent study on emerging AI trends and methodologies.
• Optional: Exposure to Synthetic Aperture Radar (SAR) for object detection, including image formation and handling SAR data formats (CPHD, SICD, SIDD).
• Optional: Interest in Gaussian Splatting for 3D scene reconstruction, with skills in optimizing rendering pipelines and integrating with tools like COLMAP.
• Optional: Initial experience with Reasoning Models or LLMs, including fine-tuning for multimodal tasks.
• Optional: Curiosity about optimized edge deployment using quantization, pruning, or frameworks (e.g., ONNX, TensorRT) for real-time ATR on resource-constrained devices., * 1-3 years of industry, internship, or academic experience in AI/ML software development, preferably in computer vision or related field.
• Project experience implementing detection and classification models for imagery (e.g., object detection, image classification, semantic segmentation).
• Familiarity with end-to-end ML pipelines, including data collection, model training, evaluation, and deployment.
• Basic use of version control systems (e.g., Git) and collaborative development workflows.
• Introductory experience deploying models in production environments using tools like Docker or Kubernetes.

Supplementary Criteria

• Strong problem-solving skills and ability to translate business requirements into technical solutions.
• Effective communication skills to collaborate with cross-functional teams (e.g., radar scientists, managers).
• Ability to stay updated with advancements in AI/ML and computer vision research.

Pulled from the full job description Health insurance 401(k) matching Vision insurance 401(k) 5% Match Dental insurance Stock options Life insurance, * Competitive salary with comprehensive benefits package.

• Stock option grants available and tailored to candidate expertise.
• 5% match on employee 401k contributions.
• Mission-driven environment where innovation shapes real-world problems.

Job Type: Full-time

Pay: $65,000.00 - $110,000.00 per year, * 401(k) matching

• Dental insurance
• Health insurance
• Life insurance
• Vision insurance