Syntiant Corp.

About the Company

Founded in 2017 and based in Irvine, California, Syntiant Corp. is a leader in delivering end-to-end deep learning solutions for always-on applications by combining purpose-built silicon with an edge-optimized data platform and training pipeline. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for edge AI applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Robert Bosch Venture Capital, the Amazon Alexa Fund and Atlantic Bridge Capital. www.syntiant.com info@syntiant.com Twitter: @Syntiant YouTube: www.youtube.com/@syntiant

Listed Jobs

Company Name

Syntiant Corp.

Job Title

Director, Machine Learning

Job Description

**Job Title**: Director, Machine Learning **Role Summary**: Lead technical direction and team strategy for edge-based audio, vision, and language machine learning (ML), translating research into scalable, accurate solutions. Hands-on leadership required. **Expectations**: Manage technical team; foster collaboration across departments; deliver production-ready ML solutions under tight timelines. **Key Responsibilities**: - Develop advanced ML models for audio, computer vision, and language applications at the edge. - Supervise, mentor, and resource-allocate for team productivity. - Translate academic research and emerging technologies into robust, deployable ML systems. - Collaborate with stakeholders to define technical requirements. - Optimize team processes for model analysis, code quality, and deployment efficiency. - Prototype, benchmark, and integrate new ML tools and algorithms. **Required Skills**: - Expertise in C++ and Python programming. - Proficiency in ML frameworks (e.g., TensorFlow, PyTorch). - Strong analytical and problem-solving capabilities for complex ML challenges. - Clear communication for technical and non-technical audiences. - Rapid prototyping and iteration of ML solutions. **Required Education & Certifications**: - MS or PhD in Computer Science, Machine Learning, or related field. - 7+ years of industrial experience deploying ML models for audio/vision on resource-constrained devices.

Redwood city, United states

On site

Senior

08-09-2025