AI/ML Software Engineer / Senior software engineer/ Tech lead
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Expert Intelligence is building the next wave of AI technology.We are a Silicon Valley AI company developing advanced machine learning, generative AI, reinforcement learning, and meta-learning systems with our proprietary Limited Sample Model AI platform. Traditional AI requires massive datasets. Our technology is designed to learn from limited, high-value data and expert feedback, enabling highly accurate AI systems for complex, real-world applications.Our ambition is to define a new category of AI, just as leading foundation-model companies transformed the LLM landscape.You will work alongside industry experts with experience at Google, Apple, Amazon, and Meta. This is an opportunity to help build a foundational AI platform and redefine what production AI systems can achieve.What you will be doingDesign, develop, test, and maintain production-class AI and software systems using Python, PyTorch, C++, Rust, Java, or similar languages.Build clean, modular, and reviewable software while prioritizing performance, reliability, scalability, and maintainability.Debug complex software infrastructure across cloud environments, distributed systems, asynchronous processes, and real-time workloads.Collaborate with machine learning researchers, software engineers, product teams, and domain experts.Convert experimental machine learning algorithms into production-ready, testable software modules.What we need to seeBachelor's degree in computer science or computer engineering.Demonstrated experience in architecting scalable and efficient software solutions, prioritizing performance, reliability, and maintainability.Minimum of 2+ years of hands-on experience in production-class software design and development using Python, Java, or C++.Proficient in debugging complex software infrastructure, including real-time threads and cloud-based systems. Familiarity with real-time threads and cloud infrastructure is a plus.Strong understanding of professional software engineering practices, including coding standards, code reviews, source control management, build processes, testing, and operations.Familiarity with deep learning frameworks like TensorFlow and PyTorch, and optimizing software algorithms.Ways to stand out from the crowdExtensive experience in product-class software systems, expertise in distributed systems, and large-scale data processing.Proficiency in developing and optimizing deep learning models for real-world problems, including expertise in AWS infrastructure and services for cloud-based deployments.Expert-level understanding of TensorFlow, PyTorch, or similar ML frameworks.Demonstrable ability to quickly grasp new concepts, including mathematical theorems, and devise original solutions to mathematical challenges.BenefitsWorkplace Flexibility (Work where you do your best work), virtual workplaceCompetitive Pay Bonus based on performancePersonalized PTO and other benefitsWe are proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, or sex.