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Elio is building next-generation sensing systems that combine advanced optics and AI to transform light into structured, actionable information. The platform uses real-time machine learning to extract rich physical signals beyond traditional imaging, enabling deeper insight and better decision-making. Initial applications are in biology and drug discovery, with planned expansion into robotics, semiconductors, and other industries requiring understanding of complex physical environments.
You will join Elio's AI and Data Science team as a Senior AI Engineer, bridging cutting-edge AI research with high-quality software engineering. Your primary responsibility is to serve as the software engineering leader within the AI team, ensuring that research innovations are transformed into reliable, scalable, and production-ready systems.
Key responsibilities include:
- Lead software engineering efforts within the AI and Data Science team
- Design, develop, and maintain production-quality AI infrastructure, libraries, and services
- Collaborate closely with AI researchers to transform research prototypes into scalable, maintainable, and reusable software
- Define and promote software engineering best practices, including code reviews, testing, documentation, version control, CI/CD, and coding standards
- Build robust data processing, model training, evaluation, and deployment pipelines
- Optimize AI systems for performance, scalability, reliability, and maintainability
- Partner with software, infrastructure, and product teams to integrate AI capabilities into Elio's platform
- Mentor team members on software engineering principles and contribute to a strong engineering culture
- Evaluate and introduce modern AI development tools, frameworks, and infrastructure that improve team productivity
This is a full-time, on-site position based in San Mateo.
Requirements:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- 7+ years of professional software engineering experience, including significant experience developing AI or machine learning systems
- Strong software engineering fundamentals, including system architecture, object-oriented design, testing, debugging, and performance optimization
- Expert-level Python programming skills and experience with PyTorch and modern machine learning frameworks
- Experience with cloud platforms, preferably AWS
- Strong understanding of software development lifecycle, CI/CD, automated testing, and DevOps practices
- Excellent communication and collaboration skills with the ability to work effectively alongside AI researchers and cross-functional engineering teams
- Thrives in fast-paced startup environments, problem-solving orientation, and eagerness to learn and grow
