Baselayer ยท 6 hours ago
Machine Learning Engineer
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$145K/yr - $225K/yr
4+ years expBaselayer is a trusted intelligent business identity platform that helps verify businesses and monitor real-time risk. They are seeking a Machine Learning Engineer to build and maintain ML models, design ML systems, and ensure compliance with industry standards while working in a hybrid environment.
Information TechnologySoftwareVirtual Reality
Responsibilities
Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space
Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases
Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional data
Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity space
Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued 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 efficiently 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
Qualification
Required
4-8 years of experience in machine learning development, working with Python and building ML models
Comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systems
Strong foundation in AI/ML fundamentals, particularly with LLMs, and are 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 code while optimizing for model performance
Thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstraction
Problem-solver who navigates the unknown confidently
Proactive self-starter who thrives in dynamic settings
Incredibly intelligent and clever. You take pride in your models
Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level
Benefits
Equity package
Unlimited vacation
Fully paid health insurance, dental, and vision
401(k) with company match
Company
Baselayer
We create innovative technology to transform the data center. We deliver hardware and software products which ensure the data center.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase