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.
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