Machine Learning Scientist (SocialFi/Decentralized Platform)
Location: New York City, London (Office)
Compensation: $250K - $300K
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 proud contributors to one of the largest global social networks in the crypto space. We are committed to leveraging cutting-edge technology to build the future of decentralized applications.
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.
As a Machine Learning Scientist, you will work alongside world-class engineers and product teams to drive the development of sophisticated algorithms. These models will power key platform features such as personalization, recommendations, search, and real-time decision-making, significantly enhancing the user experience.
Key Responsibilities
- Model Design & Development: Design and develop advanced machine learning models to improve the platform's user experience, enhance predictive capabilities, and drive smarter, more personalized user interactions
- Data & Insights: Help build scalable data pipelines and leverage vast, large datasets to generate actionable insights that directly inform strategic product development
- Infrastructure Optimization: Assist in developing and optimizing our machine learning infrastructure, ensuring systems are scalable, efficient, and robust for production-level data processing and model deployment
- Production Integration: Work closely with product teams to seamlessly integrate ML models into the platform, ensuring optimal performance and real-time data processing capabilities
- Monitoring & Iteration: Monitor, optimize, and iterate on deployed models in a live environment, ensuring effective long-term performance and adaptability to evolving user needs
- Collaboration: Collaborate with engineers and data scientists to tackle unique challenges, particularly those related to large-scale, decentralized data processing
- Research & Innovation: Stay at the forefront of machine learning research, continuously introducing new insights and state-of-the-art techniques to the team
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
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
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