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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 focus on biology and drug discovery, with plans to extend across industries including robotics and semiconductors.
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.
QUALIFICATIONS:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a 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 a fast-paced startup environment with problem-solving orientation and eagerness to learn and grow
