Description:

The Lead Deep Learning Engineer will be responsible for leading a team of engineers in developing and implementing cutting-edge deep learning models and algorithms.
They will guide the team in designing and deploying complex deep learning solutions across various domains such as computer vision, natural language processing, and autonomous systems.
Responsibilities include technical leadership, solution architecture, model development, data preparation, model training and optimization, model evaluation, deployment, performance optimization, collaboration, research, and innovation.

Requirements:

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
7+ years of experience in deep learning engineering with a track record of developing and deploying deep learning solutions.
Leadership experience with the ability to mentor a team of engineers.
Proficiency in Python, TensorFlow, PyTorch, and deep learning frameworks.
Strong understanding of deep learning architectures and algorithms, with hands-on experience in model development and evaluation.
Experience in computer vision, natural language processing, or autonomous systems is desirable.
Familiarity with cloud platforms, containerization, and orchestration technologies.
Excellent problem-solving skills, analytical thinking, and communication abilities.

Competitive salary ranging from $200,000 to $300,000 per year.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous vacation and paid time off.
Professional development opportunities including training programs and conferences.
Access to state-of-the-art technology tools and resources.
Vibrant and inclusive company culture with growth opportunities.
Exciting projects with real-world impact at the forefront of deep learning innovation.