What are the responsibilities and job description for the AI/ML Engineer position at Visto360 AI Inc.?
Location: Ann Arbor, MI
Employment: Full-time, in-person position
Experience: 1-3 years of Relevant Industry Experience
US Citizenship required.
Visto 360 AI is an Ann Arbor technology company that is revolutionizing radar Artificial Intelligence.
As an AI/ML Engineer, you will join a multidisciplinary team of radar and AI specialists to push the frontiers of computer vision. You will contribute to AI/ML development, apply your growing technical skills, and collaborate to solve real-world challenges with lasting impact.
Core Technical Requirements
- 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.
Experience
- 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.
What We Offer
- 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
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Vision insurance
Work Location: In person
Salary : $65,000 - $110,000