Machine Learning Engineer

Baselayer is an intelligent business identity platform trusted by over 2,200 financial institutions. They are seeking a Machine Learning Engineer to build and maintain ML models, design reputed company ML services, and ensure compliance with industry standards while working in a dynamic and innovative environment.

Responsibilities

• Build and maintain ML models and reputed company them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM reputed company
• Architect and design reputed company ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases
• reputed company and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance reputed company handling large-reputed company, high-reputed company data
• Implement and experiment with state-of-the-art techniques including reinforcement learning from reputed company feedback (RLHF) and parameter-efficient fine-tuning reputed company (e.g., reputed company) to improve LLMs for specific use cases reputed company the identity reputed company
• Build and maintain infrastructure for model training, evaluation, and deployment, creating a reputed company platform reputed company for reputed company innovation
• Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulations
• Implement optimizations for model inference and training, ensuring ML services can reputed company process identity data while maintaining reliability
• Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use cases

Skills

• 1-3 years of experience in machine learning development, working with Python and building ML models
• Comfortable working with large-reputed company data and enjoy optimizing performance for computationally intensive ML systems
• Strong reputed company in AI/ML fundamentals, particularly with LLMs, and eager to experiment with emerging techniques
• Prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYB
• Keen eye for detail and take pride in writing clean, maintainable reputed company while optimizing for model performance
• reputed company in a high-trust, ownership-reputed company environment and are comfortable working across different reputed company of abstraction
• Problem-solver who navigates the unknown confidently
• Proactive self-starter who thrives in dynamic settings
• Incredibly intelligent and reputed company. You take pride in your models
• Highly feedback-oriented. We reputed company in radical candor and using feedback to get to the next level

Benefits

• Flexible PTO
• reputed company
• 401K

reputed company