Position: Computer Vision/Machine Learning Engineer
Company: Kuna
Experience required: 5y
Category: Python
English level: fluent
Published: 2020-12-01T00:00:00+02:00

About company:

We’re Kuna (https://www.getkuna.com ), a San Francisco Bay Area startup, and we’re building an intelligent, cloud-connected home automation platform. Our current products, smart lights, and video doorbells, not only detect visitors at the door and alert the homeowner on their mobile phones, but also prevent break-ins before they happen, and will soon quantify and detect anomalous behavior across a neighborhood, in real-time. The dual-camera doorbell guards packages and deliveries. Our next products will enhance these features for specific markets, both residential and commercial.

After a stint in YCombinator, the world’s most prestigious startup incubator, and a successful crowdfunding campaign, we’re growing and we’re growing fast. We’re building out our engineering team and laying the groundwork for our next generation of products.

You’ll be working with an incredibly talented team of engineers who’ve built some amazing things. You’ll also be working with some pretty savvy business folks who’ve founded successful companies. Ask us about drones, Mars rovers, Emmy Awards, and making the Super Bowl broadcast possible. We have a lot to offer, and we’re willing to bet you do too.  

Job Summary

We are looking for a Senior Machine Learning Engineer (AI) who can evaluate and recommend tools, technologies and processes to ensure the highest quality product platform.

Job Requirements/ Key skills:
- Proficiency in Python or other equivalent statistics and machine learning tools
- Hands-on experience working in computer vision and machine learning using models and methods such as CNN, LSTM, GAN etc.
- Proficient using Computer Vision and Deep Learning toolkits
- Understanding of benchmarking datasets in computer vision
- Strong ability in problem solving and driving for results
- Experience with related AWS services and large datasets
- Strong personal interest in learning, researching, and creating new technologies with high customer impact
- Experience with defining organizational research and development practices in an industry setting

Our Software Stack
- Python Serverless backend
- AWS IoT, DynamoDB, Opsworks, Cloudformation, Terraform
- C++  ARM Linux firmware
- Kotlin / Java - Android
- Swift, Objective C - iOS
- Javascript - React and Redux
- Machine Learning

Main Focus: 
Security products using AI for residential and commercial markets in USA.

Team size/structure: 
Our team is currently about 20+ engineers, globally distributed, and the structure is flat. The company is roughly 40 people.