About Fanbase
Fanbase is a social economy platform designed to empower creators and their supporters with built-in monetization tools, fostering a vibrant creator economy. We believe everyone is a creator, and all creators are businesses, and our mission is to help creators connect with their audience while building sustainable revenue streams.At Fanbase, we’re reimagining social media and the creator economy by prioritizing creators and fostering diversity, with a focus on uplifting and supporting Black American culture and its influence on global pop culture.Find out about our Core Values HERERole OverviewFanbase is assembling a specialized team focused on next-generation data experiences and machine learning strategies that enhance user engagement and personalization.
We’re looking for a junior to mid-level data modeling associate with hands-on experience in both data preparation and machine learning model training.This role is ideal for someone who can structure and transform real-world datasets, develop meaningful features, and also experiment with training, testing, and improving models. You’ll work closely with experienced engineers and product leads to turn raw data into intelligent, scalable systems that support core product decisions.Key Responsibilities
- Clean, organize, and transform structured/unstructured datasets for use in ML workflows, with a focus on social interaction data and content metadata
- Perform feature engineering to extract meaningful signals from raw user interaction data.
- Train and evaluate machine learning models using Scikit-learn, TensorFlow, or similar libraries.
- Run experiments on social and community graph models, track model performance, and contribute to optimization strategies
- Collaborate with technical leads on iterative improvements to the modeling pipeline.s
- Document model behavior, limitations, and ethical considerations for team visibility
- Participate in weekly sprint planning and feedback sessions with cross-functional team members.
Qualifications & Experience
- 1–3 years of experience in a data science, analytics, or machine learning role (including internships, academic research, or startup work)
- Proficiency in Python and key data libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib)
- Hands-on experience training, testing, and evaluating machine learning models
- Familiarity with Jupyter, Git, and ML experimentation tools
- Strong analytical and problem-solving mindset with attention to reproducibility and bias mitigation
- Based in Atlanta or able to attend regular in-person sessions (1–2 times/week)
- Bonus: experience with PostgreSQL, Graph Database Systems (Neo4j, Memgraph, Amazon Neptune), TensorFlow/Keras, cloud-based model deployment, collaborative filtering, graph neural networks (GNNs), or social media recommendation systems
Why Join Fanbase?🧠 Real-World Learning & Impact – Work on meaningful modeling tasks that influence actual user experiences🎓 Mentorship & Autonomy– Gain technical mentorship while contributing independently to key projects📍 Mission-Driven Team– Join a culture-first team focused on uplifting creators and communities💥 Equity & Growth Potential - Be part of something early and earn stock options in a growing tech company
