Deep Learning Data Scientist II

Spectral AI, Inc.; Dallas, Northern (TX, KY); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Spectral MD, Inc. in Dallas, TX is seeking a Deep Learning Data Scientist II to research, develop, and deploy AI/ML models for computer vision in healthcare. You will lead experiments, build scalable pipelines, and translate research advances into practical clinical solutions.

The ideal candidate has a strong CV and DL background, expertise in Python, and hands-on deployment experience with tools like PyTorch, TensorRT, and ONNX, collaborating closely with clinical partners.

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics or related field.
• Minimum of two years of relevant research or professional experience in computer vision; for master's degree, post-degree experience is required.
• Strong Python programming for ML applications and reproducible code.
• Experience with vision transformers for computer vision tasks.
• Familiarity with PyTorch and TensorFlow frameworks.
• Knowledge of AI/ML evaluation metrics, benchmarking, and CV model validation.
• Understanding of model optimization techniques (pruning, quantization, mixed precision).
• Experience deploying models with ONNX, LibTorch, or TensorRT.

Responsibilities

• Research, develop, evaluate, and enhance ML/DL algorithms for computer vision in healthcare.
• Implement and optimize deployment pipelines for scalable, hardware-optimized inference.
• Apply model optimization techniques to improve efficiency while preserving accuracy.
• Maintain data quality and integrity throughout the data lifecycle.
• Collaborate with clinical partners and internal stakeholders on AI/ML solutions.
• Independently manage R&D projects from problem formulation to delivery.
• Ensure reproducibility through documentation and version-controlled workflows.
• Stay current with AI/ML and computer vision advances and assess applicability.
• Communicate technical methods, results, and recommendations to diverse stakeholders.

Skills

Python programming

Vision transformers

PyTorch

TensorFlow

AI/ML evaluation metrics

Model optimization

Model deployment

Communication skills

Education

MS/PhD in a quantitative field

Tools

ONNX

LibTorch

TensorRT

Job description

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Deep Learning Data Scientist II

FullTime Dallas, TX, US

2 days ago Requisition ID: 1185

Position Summary:

We are seeking a motivated Data Scientist to research, develop, and enhance AI/ML algorithms for computer vision and healthcare applications. This role involves developing and improving deep learning models, maintaining high standards of data quality, optimizing models for efficient deployment, and translating advances in AI research into practical healthcare solutions. The Data Scientist will collaborate with clinical partners and internal stakeholders to understand clinical and business needs and develop appropriate technical solutions. The ideal candidate will be capable of independently managing research and development projects while contributing effectively within cross-functional teams. Success in this role requires strong technical and communication skills, attention to detail, persistence, and a commitment to staying current with advances in AI/ML and computer vision.

Essential Duties and Responsibilities:

• Research, develop, evaluate, and enhance machine learning and deep learning algorithms for computer vision applications, translating advances in AI research into practical healthcare solutions.
• Implement and optimize model deployment pipelines to enable efficient, scalable, and hardware-optimized inference.
• Apply model optimization techniques to improve computational efficiency and inference performance while maintaining model accuracy.
• Maintain data quality and integrity throughout the data lifecycle to support robust algorithm development, training, and evaluation.
• Collaborate with clinical partners and internal stakeholders to understand clinical and business needs and translate them into appropriate AI/ML solutions.
• Independently manage assigned research and development projects from problem formulation through implementation, evaluation, and delivery.
• Ensure reproducibility of analyses and experiments through clear documentation, version-controlled workflows, and effective knowledge sharing.
• Stay current with advances in AI/ML, computer vision, and related technologies and evaluate their applicability to ongoing research and development.
• Communicate technical methods, results, and recommendations effectively to both technical and non-technical stakeholders.

Qualifications:

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related quantitative field.
• Minimum of two years of relevant research or professional experience in computer vision. For candidates with a master’s degree, the required experience must be professional experience obtained after completion of the degree.

Knowledge, Skills, and Abilities:

• Strong programming skills in Python and experience developing maintainable, reproducible code for machine learning applications.
• Strong foundation in state-of-the-art deep learning architectures (e.g., vision transformers) for computer vision tasks including image classification, object detection, and semantic segmentation.
• Proficiency with deep learning frameworks and libraries, including PyTorch and TensorFlow.
• Strong understanding of AI/ML evaluation metrics, benchmarking methodologies, and best practices for rigorous computer vision model validation.
• Solid understanding of model optimization techniques, including pruning, quantization, mixed-precision inference, and other strategies for improving computational efficiency and inference performance.
• Working knowledge of model deployment and inference tools, such as ONNX, LibTorch, and TensorRT.
• Self-driven and capable of independently navigating ambiguous research problems, working with incomplete data, and delivering high‑quality results.
• Strong written and verbal communication skills, including the ability to prepare technical documentation, reports, and scientific manuscripts.

Preferred Qualifications:

• Experience working with multispectral and/or hyperspectral imaging data.
• Experience with generative AI models for medical image synthesis and simulation.
• Experience applying AI/ML methodologies to healthcare or biomedical applications, with demonstrated contributions to successful research, clinical, or product outcomes.

Physical Requirements:

Prolonged periods of sitting at a desk and working on a computer.

Travel:

N/A

Spectral MD, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.