Lead Deep Learning Engineer
7 days ago
Position Overview: As the Lead Deep Learning Engineer, you will spearhead our efforts in developing and implementing state-of-the-art deep learning models and algorithms. You'll lead a team of talented engineers, guiding them in designing and deploying complex deep learning solutions across various domains. If you're a seasoned deep learning expert with leadership experience and a passion for driving innovation, we want you on our team.
Requirements
Key Responsibilities:
- Technical Leadership: Lead and mentor a team of deep learning engineers, setting technical direction, defining best practices, and driving innovation in deep learning technologies.
- Solution Architecture: Design and architect deep learning solutions, ensuring scalability, reliability, and performance.
- Model Development: Develop and implement advanced deep learning models and algorithms to solve complex problems, with a focus on computer vision, natural language processing, and autonomous systems.
- Data Preparation: Collect, preprocess, and augment datasets to train deep learning models, ensuring data quality and diversity.
- Model Training and Optimization: Train deep learning models using large-scale datasets, optimizing for performance, accuracy, and efficiency.
- Model Evaluation: Evaluate the performance of deep learning models using appropriate metrics and validation techniques, iterating and refining models as needed.
- Deployment: Deploy deep learning models into production environments, ensuring seamless integration with existing systems and platforms.
- Performance Optimization: Optimize the performance of deep learning models and systems, leveraging techniques such as distributed computing and GPU acceleration.
- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to deliver end-to-end solutions that meet customer requirements.
- Research and Innovation: Stay informed about the latest advancements in deep learning research and technology, exploring innovative approaches and techniques to enhance deep learning solutions.
Qualifications:
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
- 7+ years of experience in deep learning engineering, with a proven track record of developing and deploying deep learning solutions.
- Leadership experience, with a demonstrated ability to lead and mentor a team of engineers.
- Proficiency in programming languages such as Python, TensorFlow, and PyTorch, and expertise in deep learning frameworks and libraries.
- Strong understanding of deep learning architectures and algorithms, with hands-on experience in model development and evaluation.
- Experience with computer vision, natural language processing, or autonomous systems is highly desirable.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience with containerization and orchestration technologies.
- Excellent problem-solving skills and analytical thinking, with a passion for tackling complex deep learning challenges.
- Exceptional communication and collaboration skills, with the ability to work effectively in multidisciplinary teams and communicate technical concepts to non-technical stakeholders.
- Competitive salary: The industry standard salary for Lead Deep Learning Engineers typically ranges from $200,000 to $300,000 per year, depending on experience and qualifications.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- Generous vacation and paid time off.
- Professional development opportunities, including access to training programs, conferences, and workshops.
- State-of-the-art technology environment with access to cutting-edge tools and resources.
- Vibrant and inclusive company culture with opportunities for growth and advancement.
- Exciting projects with real-world impact at the forefront of deep learning innovation.
Join Us: Ready to lead our deep learning team and shape the future of AI technology? Apply now to join our team and drive innovation in deep learning engineering
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