Deep Learning Engineer

Job Description

Job Description

Deep Learning Engineer

Location : St. Louis, MO

Direct Hire

Experience : 1–3 years.

Education : Bachelor’s degree in Computer Science, Computer Engineering, AI, or related IT field

Citizenship : Must be a U.S. citizen.

About the Role

Join our cutting-edge AI team as a Deep Learning Engineer, specializing in developing and deploying advanced neural-network models for image recognition, generative AI, and related applications. You will build robust and scalable AI solutions to solve real-world problems and push the limits of artificial intelligence in industry settings.

Essential Responsibilities

• Design, implement, and optimize deep neural networks for tasks like image classification, object detection, segmentation, generation, and more.
• Preprocess, augment, and engineer features from large-scale datasets to boost model effectiveness and robustness.
• Train and fine-tune models using TensorFlow, PyTorch, or similar frameworks, leveraging techniques such as transfer learning and hyperparameter tuning.
• Evaluate model performance through metrics (accuracy, precision, recall, F1, ROC-AUC) and refine architectures accordingly.
• Deploy and maintain models in production, ensuring they meet performance benchmarks and scalability requirements.
• Keep abreast of AI research, incorporating state-of-the-art advancements into pipeline development.
• Work collaboratively within cross-functional teams—including software developers, data scientists, and product managers—to integrate AI solutions effectively.

Required Qualifications

Preferred Skills

Compensation & Benefits

Salary Range : $110,000 – $160,000 annually

Competitive benefits package including healthcare, 401(k) matching, paid time off, professional development opportunities, and more.

Why Join Us?

Contribute to high-impact AI solutions across sectors like healthcare, manufacturing, and beyond.

Advance your career by working with the latest tools in deep learning and generative AI.

Collaborate within a dynamic, technically proficient team and grow with organizational support.

Ready to make an impact? Apply now to join our AI teams in St. Louis and accelerate your career as a Deep Learning Engineer!

We’re committed to equal employment opportunities and value diverse perspectives. Must be authorized to work in the U.S.—without sponsorship.