About the Role
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.
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
- 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
We encourage you send the code or project that you are most proud of to us.
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?
- Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
- Already the market leader in enterprise CV by working with industry leaders with billions in revenue
- Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
- Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
- Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
- Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale
Top Skills
What We Do
Safari AI, fka curbFlow, delivers cutting-edge Computer Vision AI solutions that empower enterprise clients to monitor and analyze their physical operations in real-time using their own camera systems. With the flexibility to seamlessly integrate with any modern IP camera, we can apply our wide range of algorithms to start gathering essential data for our clients within days. Our sophisticated data analytics have been trusted by industry leaders such as Taco Bell, Merlin Entertainments (the parent company of Legoland), Manhattan Mini Storage, JBG Smith (landlord for Amazon HQ2), Goodwill, Brightline, and many more. We provide invaluable insights, from pedestrian and vehicle counts, throughput and live wait times to heatmapping asset utilization, vehicle classification, and license plate recognition. These insights not only enhance operational efficiency but also boost revenue and drive cost savings. Since our inception, Safari AI has successfully raised $13 million in funding, with notable investments from General Catalyst, Initialized, and other esteemed partners
