Remote Lead Deep Learning Engineer

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.

Benefits:

• 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.