Offer summary

Qualifications:

Senior undergraduate or graduate student in computer science or a relevant field., Experience with computer vision and machine learning techniques, particularly in Python and deep learning frameworks like PyTorch or TensorFlow., Strong analytical skills and ability to work independently in a Linux environment., Excellent communication skills and a self-motivated, problem-solving attitude..

Key responsibilities:

Implement computer vision solutions for object detection, tracking, and scene understanding.

Collaborate with engineering teams to deploy new features and calibrate models for clients.

Define labeling ontologies and create training, validation, and testing datasets.

Onboard customers with machine learning solutions and ensure satisfactory model accuracy.

Job description

About Safari AI

The Company's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, QSR's, Retail and beyond. It's using computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading companies such as Merlin/Legoland, 7-11, Tanger Outlets, Manhattan Mini Storage, Charlotte Hornets, Calgary Flames, and more. In the near future, Safari AI will use this data and to suggest how its clients can optimize its SOPs to generate more revenue and create more valuable guest and staff experiences.

Safari AI is seed-funded by leading venture capital investors and expects to raise its Series A in 2025.

Leadership & Culture

Safari AI is co-founded by Ali Vahabzadeh & Kaiwen Yuan, two leaders who have meaningful exits under their belts and have managed large, high-performing Go To Market and Engineering teams. The company is headquartered in NYC where the GTM team is based and works from the office five days a week, while Engineering is distributed between North America and Brazil.

About You And How You Succeed At Safari AI

You're excited about building a product and creating a market that hasn't been done before. You have a strong bias toward action when you are stuck but are not afraid to ask for help when you need to. You're high agency, and eager to test new ways of doing things, taking advantage of the freedom and culture an early stage startup can afford you. You're eager to lead the company's engagement with category leaders in a variety of industries, solving some of their biggest challenges.

About the Role
We are seeking computer vision interns to join our team for 6-12 months, with the opportunity to become a full-time team member afterwards pending performance. Interns will work closely with our engineering team on deploying new locations and features for our clients. Interns will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.

What you will be working on Weekly Basis

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

Requirement for the Role

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

Nice to Have's

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

What Safari AI Offers

An opportunity to shape an early-stage AI startup and revolutionize how businesses get data and make decisions
Professional growth at a fast-growing, venture-funded startup with a proven founder and leadership team
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

Why bet on Computer Vision and Safari AI?
1. Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
2. Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
3. No clear industry leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
4. Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
5. Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale
6. Already the market leader in enterprise CV by working with industry leaders with billions in revenue

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