Senior Research Scientist, Machine Learning
Description For Senior Research Scientist, Machine Learning
Syntiant Corp., a pioneering company in AI software and semiconductor solutions, is seeking a Senior Research Scientist in Machine Learning to join their team. The company, which recently entered into an agreement to acquire a large multi-national sensor business with global revenues exceeding $250 million annually, offers an exciting opportunity for an experienced professional to make a significant impact.
The role focuses on developing cutting-edge audio and vision models for edge devices, requiring expertise in machine learning and deep neural networks. The position combines research and practical implementation, demanding both theoretical knowledge and hands-on experience in deploying ML models for real-world applications.
Founded in 2017 and headquartered in Irvine, California, Syntiant has established itself as a leader in edge AI deployment, with solutions being implemented globally across consumer and industrial applications. The company's technology merges deep learning with semiconductor design, producing ultra-low-power, high-performance neural network processors.
The ideal candidate will have at least 5 years of industrial experience, strong programming skills in C++ and Python, and deep expertise in machine learning frameworks. This role offers competitive compensation, with a base salary range of $180,000 to $230,000, and the opportunity to work with cutting-edge technology in a rapidly growing field.
Working with Syntiant means joining a company backed by major strategic investors including Intel Capital, Microsoft's M12, and the Amazon Alexa Fund, offering the stability of established support with the excitement of innovative technology development.
Responsibilities For Senior Research Scientist, Machine Learning
- Develop state-of-the-art machine learning models for audio and computer vision applications
- Stay up to date with the latest research by reviewing academic papers in the field
- Train, optimize, and fine-tune models for high accuracy and efficiency
- Implement prototypes to test and validate new approaches quickly
- Deliver production-ready solutions within tight timeframes
- Collaborate with inference and embedded software teams to integrate models into existing systems
- Continuously improve model performance and address potential issues in production environments
Requirements For Senior Research Scientist, Machine Learning
- MS or PhD in Computer Science, Machine Learning or related field
- 5+ years of industrial work experience developing and deploying ML models for audio or vision applications
- Strong C++ and Python programming expertise and familiarity with ML frameworks (e.g. TensorFlow, PyTorch)
- Excellent understanding of deep learning architectures and techniques
- Ability to quickly prototype and iterate on complex ML solutions
- Strong analytical and problem-solving skills
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