Senior Machine Learning Research Scientist

Prime Solutions Group, Inc.•Goodyear, AZ

1d•$110,000

About The Position

Prime Solutions Group (PSG), Inc. is seeking a Senior Machine Learning Research Scientist to lead the development of advanced AI/ML capabilities supporting mission-critical national security systems. This is a high-impact role at the intersection of applied research, machine learning engineering, and real-world system integration. You will design and evaluate novel machine learning approaches, translate research into deployable solutions, and directly influence how AI is applied in operational environments. Working alongside engineers, data scientists, and mission stakeholders, you will help move cutting-edge ideas from concept to capability. This is an ideal opportunity for someone who enjoys solving hard problems, working with imperfect real-world data, and seeing their research deployed at scale.

Requirements

U.S. Citizenship (required)
Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
Bachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related field
4+ years of experience in one or more areas:
Applied machine learning research
Computer vision or image analysis
Anomaly detection or forensic analytics
AI/ML development in production or mission environments
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
Deep understanding of ML fundamentals: training, generalization, overfitting, optimization, and evaluation
Experience designing experiments and analyzing quantitative results
Ability to work with real-world, noisy, and complex datasets
Strong problem-solving and independent research capabilities
Excellent communication skills for both technical and non-technical audiences

Nice To Haves

Master’s degree or higher in a related field
Experience with:
Media forensics, deepfake detection, or multimodal AI
Transformer architectures, generative models, or representation learning
Explainable AI, saliency mapping, or attribution techniques
Experience designing benchmarks and managing dataset lifecycle/provenance
Background supporting defense, intelligence, or high-assurance systems
Record of publications, patents, or internal R&D innovation

Responsibilities

Lead the design and development of advanced AI/ML solutions for computer vision, anomaly detection, and media forensics
Architect and evaluate novel models, training strategies, and optimization approaches to improve performance and robustness
Design and execute rigorous experiments to assess model behavior, tradeoffs, and real-world effectiveness
Develop techniques for model interpretability, confidence scoring, and anomaly localization
Define evaluation frameworks, benchmarks, and performance metrics across diverse and challenging datasets
Analyze failure modes, edge cases, and adversarial scenarios; develop mitigation strategies
Guide dataset strategy, including data curation, augmentation, and long-term sustainability
Collaborate with ML engineers and MLOps teams to transition research into production-ready pipelines and systems
Contribute to technical roadmaps, architecture decisions, and risk-reduction efforts
Prepare technical briefings, reports, and documentation for internal and external stakeholders
Mentor junior engineers and researchers; provide technical leadership across projects