To explore cutting-edge methods and translate them into real, working product features using data, AI, and advanced algorithms for the company
Requirements
- Strong background in computer science, data science, or applied ML.
- Hands-on experience with Python (NumPy, pandas, PyTorch, TensorFlow, scikit-learn, etc.).
- Ability to design and run experiments, then interpret results.
- Comfort with databases, data pipelines, and handling large datasets.
- Interest in both research and shipping code — you like papers, but you love working code more.
- Published research or contributions to open-source ML/AI projects.
- 5 years of ML and software engineering experience
Responsibilities
- Explore and prototype new algorithms, models, or approaches that could improve our product.
- Run experiments and evaluations to test feasibility and performance.
- Collaborate with engineers to productionize research prototypes into scalable systems.
- Stay on top of emerging trends in AI/ML, data systems, or applied science relevant to our space.
- Contribute to shaping the technical direction of our product with research-driven insights.
- Prototype a machine learning model that improves customer outreach effectiveness.
- Experiment with data-driven algorithms to identify trends and patterns in customer usage.
Other
- Education: Bachelor’s degree, Master’s degree preferred
- Published research or notable projects a plus
- Ability to bridge cutting-edge research and real-world impact
- Interest in both research and shipping code
- Ability to work in a high-leverage role
