Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Santa Clara, California, United States
Candidates should possess a Bachelor's degree in Computer Science, Engineering, or a related field, with a Master's or PhD being a plus. They must have at least five years of relevant experience and a proven track record of building large-scale distributed systems. Deep expertise in Python or C++ is required, along with familiarity with Linux-based operating systems and experience with machine learning, NLP, or computer vision being a significant advantage. US citizenship is mandatory.
The Sr. Back-End Software Engineer will be responsible for designing, developing, and envisioning innovative features for Mirage, collaborating with scientists, engineers, and product managers. They will take ownership of major parts of the software and ship features, balancing quality, maintainability, and speed. Additionally, they will contribute to building scalable back-end systems, services, tools, and APIs that power the company’s product.
AI platform for real-time intelligence analysis
Percipient.ai enhances human understanding and decision-making through artificial intelligence. Its main product, the Mirage® Intelligence Analysis Platform, processes unstructured multimedia visual and intelligence data faster than real-time. This platform allows clients to identify patterns and relationships from diverse data sources, including ground, air, and space-based information, improving accuracy over time. Unlike competitors, Percipient.ai focuses on providing real-time insights that help clients maintain their competitive edge. The company's goal is to transform vast amounts of data into actionable insights, enabling clients to make swift and informed decisions.