CV/ML Intern

Summary

Join Safari AI, a seed-funded AI startup revolutionizing business data and decision-making, as a computer vision intern for 6-12 months with potential for full-time employment. You will contribute to deploying new locations and features for clients, working with cutting-edge AI technology. The internship involves implementing computer vision solutions, building robust solutions, collaborating with engineers, defining labeling ontologies, onboarding customers, and calibrating models. You'll gain experience in a dynamic team and contribute to a rapidly growing company. The role requires a commitment of 8 months (August 2025-April 2026).

Requirements

• Only students who can commit 8 months (2025/08-2026/04) will be screened
• Senior undergraduate or graduate school students in computer science or relevant field with exposure to classic and modern computer vision and machine learning techniques
• Excellent written and verbal communication skills
• Self-motivated, critical thinking and enthusiastic in solving real-world problems
• Python experience/expertise training, evaluating, and deploying models with one of more common deep learning framework such as PyTorch or Tensorflow
• Sufficient familiarity with traditional computer vision and machine learning techniques with good mathematics foundations and geometry knowledge
• Deep insight and experience on modern computer vision and machine learning techniques (e.g., object detection, multi-object tracking)
• Familiar with popular computer vision solution related frameworks, such as opencv, gstreamer, ffmpeg, deepstream, tensorrt, etc
• Experience with Linux environment and targeting embedded deployment
• Experience with public cloud such as GCP, Azure or AWS
• Ability to design, implement, present, and operate independently without oversight
• Good business insight and exceptional analytical skills

Responsibilities

• Implement computer vision solutions in the areas of object detection and tracking, scene segmentation, scene understanding, and depth estimation
• Build solutions that are robust to camera motion, occlusions, poorly exposed scenes
• Work with a growing team of infrastructure and machine learning engineers of various levels
• Define labeling ontologies and create training, validation, and testing sets across customer sites and weather conditions
• Onboard customers with machine learning solutions and calibrate models for satisfactory accuracy

Preferred Qualifications

• Experiences with data streaming frameworks, such as flink, spark, beam, etc
• Experiences in startup environment
• Experiences with embedded platforms such as NVIDIA Jetson, Intel Movidus, etc
• Fluent in Java or Typescript
• Publication records on top ML/CV conferences / journals such as CVPR, NeurIPS and ICCV

Benefits

• Competitive salary and meaningful equity for early team leaders
• Unlimited vacation days
• Generous health benefits (Health, Vision, Dental)
• 401k contributions enabled
• Brand new, top of the line hardware and whatever else you need to help you win