We are seeking a Machine Learning Scientist with expertise in designing state-space models, developing novel machine learning architectures, and contributing to groundbreaking research. The ideal candidate will have a strong foundation in classical machine learning, deep learning, and extensive coding experience. A background in writing government grant proposals and proficiency in CI/CD pipelines is a plus. The target domain are custom, extreme-edge AI processors. Extreme-Edge are system that are high performance but run on 250 mw of power or less.

*This is a hybrid role 3x a week in Laguna Hills, CA office.

Key Responsibilities:

- Design and develop state-space models and novel machine learning architectures.

- Conduct research to advance the state of the art in machine learning and publish findings in leading journals or conferences.

- Build, train, and deploy machine learning models for real-world applications.

- Collaborate with cross-functional teams to integrate ML solutions into production systems.

- Perform data preprocessing, and hyperparameter tuning for optimal model performance.

- Develop and maintain CI/CD pipelines for machine learning workflows.

- Stay updated with the latest trends in AI/ML and apply innovative techniques to solve complex problems.

- Generate Patents, publish in high impact journals and conferences.

Required Qualifications:

- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

- Proven experience with state-space models and deep learning frameworks (e.g., TensorFlow, PyTorch).

- Strong coding skills in Python and C/C++ (bonus).

- Solid understanding of classical machine learning techniques, algorithms, and statistical methods.

- Demonstrated record of publications in reputable journals or conferences.

- Active GitHub repository showcasing relevant projects or contributions.

- Highly creative and curious.

Preferred Skills:

- Experience writing and winning government grants and contracts.

- Familiarity with CI/CD tools, GitLab CI/CD, or similar platforms.

- Strong problem-solving skills with attention to detail.

- Excellent communication skills for presenting technical concepts to non-experts.

Benefits:

- Competitive salary and performance-based bonuses.

- Opportunities for career advancement and professional development.

- Flexible work environment with options for remote work up to 2 days a week.

- Access to cutting-edge tools and resources for research.