Hybrid Research Scientist: Speaker Recognition & ML

CSS Tec; Upper Chichester Township (Delaware County); Hybrid; USD 151,536,000 - 173,578,000; Full time

Job summary

Contemporary Staffing Solutions is seeking a Research Scientist to advance intelligent voice technologies in real world environments. The role focuses on designing and refining machine learning solutions for speaker recognition and verification with production-level impact.

The position is hybrid in Garnet Valley, PA, offering contract-to-hire. Responsibilities include research, model development, data preparation, and collaboration with engineering teams.

Qualifications

• Master’s or PhD in computer science, engineering, data science, or a related technical discipline.
• Three to five years of hands on experience in machine learning and deep learning model development.
• Strong proficiency in Python with practical experience using PyTorch or TensorFlow.
• Demonstrated background working with multimodal models, speech processing, or speaker verification systems.
• United States citizenship with the ability to obtain and maintain a Top Secret security clearance.

Responsibilities

• Design and enhance multimodal machine learning and deep learning models focused on speaker identification and verification outcomes.
• Conduct applied research and algorithm development to improve existing production models and experimental solutions.
• Train and evaluate models using large scale datasets, including contributing to data preparation and annotation efforts.
• Measure model accuracy, robustness, and generalization through benchmarking and performance analysis.
• Partner with engineering and cross functional teams to translate research findings into scalable and efficient implementations.

Skills

ML/DL models

Speaker verification

Python

PyTorch

TensorFlow

Speech processing

Education

MS/PhD in CS

Tools

PyTorch

TensorFlow

Job description

Contemporary Staffing Solutions is seeking a Research Scientist to advance intelligent voice technologies in real world environments. The role focuses on designing and refining machine learning solutions for speaker recognition and verification with production-level impact.

The position is hybrid in Garnet Valley, PA, offering contract-to-hire. Responsibilities include research, model development, data preparation, and collaboration with engineering teams.