Who are we? 

Spiky.ai provides a daily pulse into the engagement and emotion level of your company or institution by analyzing the videos collected from your online meetings. We believe that people are what make organizations thrive and that’s why we are interested in learning more about you! We strongly suggest you read our values to learn more about our culture. Some things about us:

• Techstars’21
• Supercharger Ventures
• AWS EdStart 
• NVIDIA Inception
• Webrazzi

What you should expect:

• Competitive salary and stock options
• A dynamic position in a prestigious USA startup (VC backed and top-notch advisors)
• Remote working environment
• An opportunity to work with the latest technologies across a variety of platforms
• A fun, exciting work environment focused on the results, not the politics
• Extensive learning potential and tons of hands-on experience

As an ML engineer, you will be responsible including but not limited to the following:

• Design and coordinate implementation of AI-based solutions for production usage
• Design and develop infrastructure for the full cycle of machine learning, such as workflow orchestration and management interfaces, data discovery tools, data quality, and feature libraries.
• Discovering, analyzing, structuring, and mining data

Required Skills & Experience

• Experience in successfully applying ML to real-world problems
• Intermediate statistics knowledge or experience with a big data-related project 
• Experience with at least one deep learning framework (PyTorch, TensorFlow, or equivalent)
• Proficiency in Python
• Ideally, experience with AWS managed services such as S3, ElasticSearch, SageMaker, and DynamoDB 
• Experience with Docker and Kaggle history is a plus