Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer, you will play a key role in architecting our real-time mindshare platform that turns noisy social feeds into crystal-clear token insights. Your work will power a product so fast and intuitive, ingesting data from every channel, powering advanced NLP models, and delivering sub-second API responses that will deliver a trading experience that end users will only describe as magic.

In Short

• Build and optimize low-latency, high-throughput APIs for real-time token mindshare and sentiment metrics.
• Design and implement real-time sentiment-analysis and NLP pipelines for social feeds.
• Develop and train ML models to improve sentiment signal accuracy.
• Collaborate with cross-functional teams on ML-driven insights and consumer-facing dashboards.
• Ensure data security and compliance around user-generated content.
• Maintain code quality through clean, efficient coding and testing.
• 5+ years in ML or data engineering roles with production-grade NLP systems.
• Experience building low-latency data pipelines and APIs using Go, Python, or similar.
• Hands-on NLP experience with pre-built services and custom models.
• Proficient with MLOps and training infrastructure.

Requirements

• 5+ years in ML or data engineering roles.
• Experience with low-latency, high-throughput data pipelines and APIs.
• Hands-on experience with NLP and sentiment analysis.
• Proficient in MLOps, CI/CD, and model versioning.
• Strong social media data extraction skills.
• Experience with real-time streaming systems.
• Deep data-engineering expertise across various databases.
• Experience deploying microservices using Docker and Kubernetes.
• Skilled in observability and alerting pipelines.
• Experience with real-time ML inference frameworks.

Benefits

• Opportunity to work in a fast-paced, innovative environment.
• Collaborate with a high-performance team.
• Contribute to a product that impacts the DeFi ecosystem.
• Access to resources and support for technological innovation.
• Work on a stealth-mode initiative in a well-funded organization.