Artificial Intelligence/Machine Learning Engineer, Magical

• You are proficient in Python, or JavaScript and TypeScript
• You have experience with any cloud provider such as AWS (we use AWS), GCP, or Azure
• You have a passion for building innovative solutions that drive impact and automate mundane tasks
• You have expertise in AI/ML model design and development, frameworks, and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, NLTK or spaCy, OpenCV or similar
• You have experience working with RPA technologies such as Apache Airflow, Camunda, Tesseract, Google Cloud Vision, or Amazon Rekognition and AWS services like EC2, S3, Lambda, and Elastic Beanstalk
• You have knowledge of CI/CD tools and Docker
• You work collaboratively in a fast-paced environment
• You are excited about leveraging OpenAI and Gemini technologies
• Previous experience with all of these technologies is not required

Desirable

• We're seeking a passionate and impact-driven Senior or Staff Artificial Intelligence and Machine Learning Engineer to join our experienced founding team from Mozilla, Spotify, LinkedIn, and Apple and revolutionize productivity through automation
• Your mission will be to design and develop AI/ML models and algorithms that automate mundane, soul-crushing tasks
• As part of our team, you'll play a crucial role in shaping our data graph used by over 500K people across 30K companies in 150 countries
• This data graph standardizes the internet, and you'll have direct input in shaping our roadmap as we grow to 1 million users
• In this role you will collaborate with frontend and full-stack teams across the organization as we implement the machine learning functionalities you develop into our React.js and Redux applications
• Collaborate in integrating AI/ML solutions with existing Node.js applications
• Conduct data preprocessing, feature engineering, and model evaluation
• Optimize database interactions using PostgreSQL to efficiently handle large datasets
• Manage and query large datasets with PostgreSQL
• Leverage AWS services for deploying, scaling, and maintaining AI/ML models and data pipelines
• Deploy applications and manage data with AWS (Eg. EC2, S3, Lambda, Elastic Beanstalk and others)
• Manage workflows and data pipelines (Eg. Apache Airflow, Camunda or similar)
• Perform OCR tasks with Tesseract and advanced image and video analysis with Google Cloud Vision or Amazon Rekognition
• Use Docker for containerizing applications