Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates must have 5–10 years of experience in software or ML engineering, strong programming skills in Python and SQL, and a good understanding of best practices in software and data engineering. Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment, along with experience with cloud services (AWS, GCP, or similar), is required. The ability to reason about data and metrics, and a drive to tie models to real business outcomes, is also necessary.
The Machine Learning Engineer will build ML-Powered Features, train and deploy models for various applications like search, ranking, recommendations, and fraud detection, and work across the entire ML lifecycle from data sourcing to model deployment and monitoring. They will deploy at scale using modern cloud-native infrastructure, leverage generative AI and LLMs to accelerate development, and collaborate closely with product, design, and operations teams to ship impactful ML features.
No-code platform for interactive storytelling
Dorian provides a no-code platform that helps fiction writers create personalized interactive content. This platform is designed for a wide range of writers, including those from underrepresented backgrounds, allowing them to engage with their fans in meaningful ways. Dorian operates as a social medium where writers can connect with their audience and monetize their work through subscription fees and transaction-based models. What sets Dorian apart from its competitors is its focus on user-friendly tools for content creation and discovery, which aims to democratize storytelling and amplify diverse voices in the creative writing community. The company's goal is to empower writers and enhance their ability to share their stories with a broader audience.