AI/ML Engineer
Full Time
|
Ann Arbor, MI, US
|
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
For engineers
Get matched with radiance field roles
Share your background and we’ll connect you with companies hiring for Gaussian splatting & NeRF — sometimes before roles are even posted.
We only share your details with companies you’d be a fit for.


