The company is looking to leverage AI and ML techniques to shape the future of their social and decentralized platforms, enhancing user experience through personalization, recommendations, search, and real-time decision-making.
Requirements
- An experienced Machine Learning Scientist with a strong foundational knowledge in algorithms, data structures, and statistical modeling.
- Proficient in Python.
- Hands-on experience deploying ML models into a production environment is highly desirable.
- Experience in maintaining ML infrastructure, including model deployment pipelines, model monitoring, and scaling systems for large datasets, is a significant plus.
- Familiarity with working in a high-performance, fast-paced environment, ideally within high-growth startups or rapidly scaling technology companies.
- Passionate about leveraging ML to create real-world impact, with a keen interest in blockchain, crypto, and SocialFi technologies.
- A proactive problem-solver who thrives on tackling complex, ambiguous challenges and is willing to dive into new technologies quickly.
Responsibilities
- Design and develop advanced machine learning models to improve the platform's user experience, enhance predictive capabilities, and drive smarter, more personalized user interactions.
- Help build scalable data pipelines and leverage vast, large datasets to generate actionable insights that directly inform strategic product development.
- Assist in developing and optimizing our machine learning infrastructure, ensuring systems are scalable, efficient, and robust for production-level data processing and model deployment.
- Work closely with product teams to seamlessly integrate ML models into the platform, ensuring optimal performance and real-time data processing capabilities.
- Monitor, optimize, and iterate on deployed models in a live environment, ensuring effective long-term performance and adaptability to evolving user needs.
- Collaborate with engineers and data scientists to tackle unique challenges, particularly those related to large-scale, decentralized data processing.
- Stay at the forefront of machine learning research, continuously introducing new insights and state-of-the-art techniques to the team.
Other
- Highly collaborative, with the ability to communicate complex technical concepts effectively to both engineers and non-technical stakeholders.
- High-agency and ownership-driven, capable of leading projects end-to-end with minimal guidance.
- Location: New York City, London (Office)
- We are a high-growth software development company comprised of elite builders, moving fast to redefine what is possible in the social and decentralized technology space.
- We are committed to leveraging cutting-edge technology to build the future of decentralized applications.
