Responsibilities
- Construct high-performance APIs with minimal delay to deliver live token sentiment and attention metrics to client applications.
- Create end-to-end natural language processing workflows for real-time analysis of social platforms including Twitter, Reddit, Discord, and Telegram.
- Train and refine machine learning models, progressing from existing tools to custom transformer-based architectures for improved signal precision.
- Partner with product, design, and frontend teams to define roadmaps and launch user-facing features that present actionable insights through dashboards and alerts.
- Implement safeguards to protect sensitive data, including user-generated content, API credentials, and personally identifiable information from social feeds.
- Uphold high standards in software and model development by writing clean code, conducting rigorous testing, leading peer reviews, and guiding team members.
Compensation
Competitive salary and equity offered based on experience
Work Arrangement
Remote-first with optional hubs
Team
Cross-functional team of engineers, data scientists, and product specialists focused on real-time analytics
Responsibilities
- Build and optimize low‑latency, high‑throughput APIs that expose real‑time token mindshare and sentiment metrics to downstream clients.
- Design and implement real‑time sentiment‑analysis and NLP pipelines for social feeds (Twitter, Reddit, Discord, Telegram, etc.), covering ingestion, tokenization, entity extraction, and sentiment scoring.
- Develop and train ML models, starting with pre‑built services and advancing to custom transformer architectures, to continuously improve the accuracy and relevance of sentiment signals.
- Collaborate with cross-functional teams (frontend, design, marketing, product) to roadmap and deliver new ML-driven insights and to design intuitive consumer-facing dashboards and alert systems that visualize real-time mindshare and sentiment metrics aligned with product goals.
- Ensure data security and compliance, particularly around user‑generated content, API keys, and any PII in social media streams.
- Maintain code and model quality: author clean, efficient, and maintainable code; implement comprehensive testing and debugging; and lead code reviews, share best practices, and mentor teammates.
Available for exceptional candidates
