Software Engineer, ML Ops; New Grad

About Safari AI

Safari AI's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, Live Venues, QSR's, Retail and beyond. The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading enterprises such as Merlin/Legoland, 7-11, Tanger Outlets, Charlotte Hornets, Calgary Flames, and more. This year, Safari AI's platform will begin to use this data and to suggest to clients how they can optimize their operations to generate higher throughput, more revenue and optimize staff deployment.

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 Miami with the Engineering team based in Vancouver with some distributed team members.

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 a high agency contributor, eager to test new ways of doing things and take advantage of the freedom and culture an early stage startup can afford you.

You want to lead the company's engagement with category leaders in a variety of industries, solving some of their biggest challenges.

We are seeking computer vision full time role to join our team. This role will work closely with our engineering team on deploying new locations and features for our clients. This role will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.

• 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

• 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

• 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

• 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