Research Engineer

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

Job Title: Research Scientist

Job Overview:

Contemporary Staffing Solutions is seeking a Research Scientist to join our client to support the design and advancement of intelligent voice based technologies. This role focuses on developing and refining machine learning solutions that improve speaker recognition and verification capabilities in real world environments. The position offers hands on research exposure while contributing directly to production level systems. This is a hybrid contract to hire opportunity based in Garnet Valley, Pennsylvania.

Compensation:

$57 per hour

Work Schedule:

Monday through Friday, 8:00 AM to 5:00 PM EST

Hybrid schedule with three days onsite per week based on team needs

Key Responsibilities of the Research Scientist:

• 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

Qualifications and Skills for the Research Scientist:

• 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

Why Join Us?

This role provides the opportunity to work closely with experienced researchers and engineers on meaningful, real world challenges. You will gain exposure to advanced machine learning applications while contributing to day to day research and production initiatives. The hybrid structure supports collaboration while allowing flexibility and focused development time.

About Us:

Contemporary Staffing Solutions (CSS) is a trusted leader in providing contract, temporary, temp to hire, and direct hire staffing solutions. With decades of experience, we have grown from a staffing agency to a nationwide provider of workforce management solutions. Our niche recruitment expertise spans Accounting and Finance, Call Center and Office Support, Human Resources, Sales and Marketing, and Information Technology. Explore more about CSS and how we connect great talent with exceptional opportunities by visiting www.ContemporaryStaffing.com.