ML Scientist

We are seeking an experienced Machine Learning Scientist to be instrumental in applying AI and ML techniques to shape the future of our platforms and beyond. The ideal candidate will design and develop advanced machine learning models to improve the platform's user experience, enhance predictive capabilities, and drive smarter, more personalized user interactions.

Requirements

• Experience: An experienced Machine Learning Scientist with a strong foundational knowledge in algorithms, data structures, and statistical modeling.
• Programming: Proficient in Python.
• Production Deployment: Hands-on experience deploying ML models into a production environment is highly desirable.
• Infrastructure: Experience in maintaining ML infrastructure, including model deployment pipelines, model monitoring, and scaling systems for large datasets, is a significant plus.
• Startup Mindset: Familiarity with working in a high-performance, fast-paced environment, ideally within high-growth startups or rapidly scaling technology companies.
• Domain Interest: Passionate about leveraging ML to create real-world impact, with a keen interest in blockchain, crypto, and SocialFi technologies.
• Problem-Solving: A proactive problem-solver who thrives on tackling complex, ambiguous challenges and is willing to dive into new technologies quickly.
• Communication: Highly collaborative, with the ability to communicate complex technical concepts effectively to both engineers and non-technical stakeholders.
• Agency: High-agency and ownership-driven, capable of leading projects end-to-end with minimal guidance.

Benefits

• Competitive Compensation: A highly competitive base salary ranging from $250,000 to $300,000 USD, plus significant potential via tokens and/or equity.
• Culture: An environment that champions speed over perfection, ownership over bureaucracy, and talent density over headcount.
• Impact: The opportunity to build something game-changing at the intersection of AI, crypto, and social networking.
• Growth: Work alongside a team of top-tier talent in a domain that is redefining the future of decentralized applications.