Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should possess 8+ years of industry experience in Machine Learning, or a PhD plus 5 years of experience, and hold an MS in Machine Learning, Computer Science, or a related technical field, with a PhD preferred. They must be a 10x developer capable of utilizing auto-code generation techniques for ML and scalable distributed applications, and demonstrate a strong foundation in modern ML techniques such as DNNs, transformers, LLMs, and classification.
The Staff Machine Learning Engineer will design and implement multi-modal ML models for document understanding and information extraction, fine-tune LLMs for automated document processing and risk assessment, create real-time ML pipelines for risk detection, collaborate with experts to translate domain knowledge into ML features and models, build explainable ML systems, and work with platform teams to deploy models at scale with high availability and low latency.
Digital currency wallet and transaction platform
Coinbase provides a platform for buying, selling, and storing digital currencies like bitcoin, ethereum, and litecoin. Users can create a digital wallet to manage their cryptocurrency transactions easily. The platform is designed to be user-friendly, making it accessible for both merchants and consumers. Unlike many competitors, Coinbase focuses on building trust with its users through reliable services and a straightforward interface. The company's goal is to create an open financial system that promotes innovation and equal opportunities in the digital currency space.