Sr. Data Scientist I (5997)

Warner-Robins, GA

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MetroStar

MetroStar builds transformative and innovative technology solutions to accelerate agency missions. We're where government and tech collide.

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As Sr. Data Scientist I, you’ll develop and deploy advanced computer vision models for object detection, tracking, and classification in visual media; implement AI/ML pipelines from data processing through edge deployment; optimize model performance across diverse compute environments from edge devices to enterprise data centers

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

  • Design and develop computer vision models for detection, tracking, and classification of objects of interest in visual media, ensuring models adhere to standard input formats and export capabilities
  • Implement AI/ML techniques for automated data processing, labeling, and categorization of image content, including image segmentation, feature extraction, and efficient clustering
  • Build, maintain, and migrate scalable computer vision pipelines to secure environments while streamlining data exploration and model training processes
  • Develop metadata enhancement strategies and active learning approaches to improve model accuracy, motion tracking, and object detection capabilities
  • Optimize models for edge deployment using quantization, pruning, and compression techniques while implementing enterprise GPU acceleration solutions (CUDA, TensorRT) for high-performance inferencing
  • Conduct performance analysis across latency, memory usage, and power consumption metrics, ensuring mission requirements are maintained within edge compute constraints while supporting automated deployment and monitoring

What you’ll need to succeed:

  • Active DoD Top Secret/SCI Clearance required
  • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field
  • 4+ years experience in AI/ML model development and computer vision
  • Proficiency with machine learning frameworks (TensorFlow, PyTorch, OpenCV, scikit-learn)
  • Experience with computer vision techniques including object detection, tracking, and classification
  • Knowledge of image processing, segmentation, and feature extraction methods
  • Familiarity with GPU acceleration technologies (CUDA, TensorRT) and AI frameworks
  • Experience with model optimization techniques (quantization, pruning, compression)
  • Strong programming skills in Python, with experience in C++ preferred
  • Understanding of edge computing and deployment constraints
  • Experience with data labeling, annotation tools, and dataset management
  • Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

SALARY RANGE: $129,000 - $159,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: 

  • The candidate's professional background and relevant work experience
  • The specific responsibilities of the role and organizational needs
  • Internal equity and alignment with current team compensation
  • This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
    • Performance-based bonuses
    • Company-paid training and/or certifications
    • Referral bonuses

To apply for this position, please submit your resume via the form below or through our careers page: https://www.metrostar.com/jobs/

Application Deadline:  Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.

Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.

Benefits: All full-time employees are eligible to participate in our benefits programs:

  • Health, dental, and vision insurance
  • 401(k) retirement plan with company match
  • Paid time off (PTO) and holidays
  • Parental Leave and dependent care
  • Flexible work arrangements
  • Professional development opportunities
  • Employee assistance and wellness programs

Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

 What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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Category: Data Science Jobs

Tags: AWS Azure Classification Clustering Computer Science Computer Vision CUDA Docker Engineering GCP GPU Kubernetes Machine Learning Mathematics ML models Model training OpenCV Pipelines Python PyTorch Scikit-learn TensorFlow TensorRT

Perks/benefits: 401(k) matching Career development Equity / stock options Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Startup environment Wellness

Region: Asia/Pacific
Country: Australia

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