Research Scientist - Machine Learning & Edge AI

Bluegrass Stream LLC; San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Bluegrass Stream LLC is seeking a researcher to design and optimize machine learning models for deployment on cutting-edge chipsets used in smartphones, IoT, and automotive platforms. You will build end-to-end experimentation pipelines and benchmark models on real hardware.

Join a fast-paced, collaborative team focused on advancing AI technology through rigorous research, practical deployment, and contributions to patents and publications.

Qualifications

• Expertise in ML model development, optimization, and deployment.
• Strong collaboration skills and ability to innovate in edge AI.
• Experience with hardware benchmarking and publishing/patenting.

Responsibilities

• Build end-to-end experimentation pipelines and benchmark models on real hardware.
• Collaborate with cross-functional engineering teams to translate innovations into production.
• Conduct research for next-generation wireless and multimedia systems.

Skills

ML model development

Model optimization

Model deployment

Edge AI

Hardware benchmarking

Collaborative work

Job description

Role:

Research, design, and optimize machine learning models for deployment on advanced chipsets used in smartphones, IoT, and automotive platforms.

Responsibilities:

Build end-to-end experimentation pipelines, benchmark models on real hardware, and collaborate with cross-functional engineering teams to translate innovations into production.

Qualifications & Skills:

Expertise in machine learning model development, optimization, and deployment; strong collaboration skills; ability to innovate in edge AI; experience with hardware benchmarking; and a drive for impactful research, including publishing and patenting.

Key Duties:

Conduct research, develop solutions for next-generation wireless and multimedia systems, and contribute to a fast-paced, collaborative environment focused on advancing AI technology.