Job Description
Refiberd, Inc. is seeking a Research Scientist for its San Francisco, California office.
Job Duties:
Research and implement machine learning (ML) algorithms and tools to optimize the detection of primary fiber types including cotton, polyester, elastane, nylon, wool, and silk. Build, select, and prepare datasets and data representation methods to ensure the proper representation of different fiber types in Refiberd's fiber detection technology. Run machine learning tests and experiments to analyze and quantify the accuracy of fiber detection technology, including performance on primary fiber types of cotton, polyester, elastane, nylon, wool, and silk, as well as performance on contaminant presence such as zippers, buttons, seams, dyes, and dirt. Perform statistical analysis and fine-tuning using test results to identify challenges with specific material detection to enable the iterative improvement of fiber detection technology. Train and retrain systems to accelerate model development and execution and optimize the accuracy and speed of Refiberd's fiber detection technology to ensure real-time detection of fiber types for customer applications. Extend existing machine learning libraries and frameworks to optimize data influx from Refiberd's hyperspectral imaging system and other potential sensor systems, fiber detection accuracy and speed, and final customer-facing user-interface and integration with customer machine applications. Telecommuting permitted two days per week from within commuting distance of San Francisco, CA.
Education Requirements: Bachelor's degree in Computer Science, Mathematics, Physics, Data Science, or a related field.
Experience Requirements: Three years of experience as a Data Scientist, Postdoctoral Researcher or a related occupation, including:
" Three years of experience using Python machine learning frameworks such as PyTorch, TensorFlow, or similar.
" Three years of experience using machine learning libraries such as scikit-learn, numpy, pandas, or similar.
" Three years of experience preparing datasets and data representation methods for machine learning and data science development.
" One year of experience with deep learning techniques and modern neural network architectures such as GNN, Transformers, Diffusion, or related techniques.
" One year of experience utilizing Graphics Processing Units (GPUs) to accelerate model development and execution.
" One year of experience with cloud platforms (AWS, Google Cloud, or similar) for AI development and deployment.
" One year of experience in prototyping machine learning systems with all aspects of research, model development and training, and tuning.
Experience may be gained concurrently. Foreign equivalent degrees are acceptable.
MUST HAVE PROOF OF LEGAL AUTHORITY TO WORK IN THE UNITED STATES.
Job Location: 351 California Street, Suite 1300, San Francisco, CA 94104
Salary: $170,000 to $250,000 per year
Benefits: medical, dental, vision, 401K, PTO, and paid holidays
40 hours per week, EOE.
Job number must be indicated on your response.
Please send resume to:
hello@refiberd.com
Job # 4002