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Senior Deep Learning Engineer
Unreal Gigs | San Francisco | Full-time | apply.workable.com |
Company Overview: Welcome to the forefront of deep learning innovation! Our company is dedicated to pushing the boundaries of artificial intelligence through deep learning techniques. We're committed to developing cutting-edge solutions that revolutionize industries and drive impactful change.
Join us and be part of a dynamic team shaping the future of AI technology.
Position Overview: As a Senior Deep Learning Engineer, you'll play a pivotal role in developing and implementing advanced deep learning models and algorithms. You'll work on a variety of projects, from computer vision and natural language processing to autonomous systems and robotics.
If you're a seasoned deep learning engineer with a passion for innovation and a track record of delivering impactful solutions, we want you on our team.
Requirements
Key Responsibilities:
1. Model Development: Design, develop, and implement advanced deep learning models and algorithms to solve complex problems across various domains.
2. Data Preparation: Collect, preprocess, and augment datasets to train deep learning models, ensuring data quality and diversity.
3. Model Training and Optimization: Train deep learning models using large-scale datasets, optimizing for performance, accuracy, and efficiency.
4. Model Evaluation: Evaluate the performance of deep learning models using appropriate metrics and validation techniques, iterating and refining models as needed.
5. Deployment: Deploy deep learning models into production environments, ensuring scalability, reliability, and performance.
6. Performance Optimization: Optimize the performance of deep learning models and systems, leveraging techniques such as distributed computing and GPU acceleration.
7. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to deliver end-to-end solutions that meet customer requirements.
8. 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.
• 5+ years of experience in deep learning engineering, with a focus on developing and deploying deep learning models and algorithms.
• 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.
Benefits
• Competitive salary: The industry standard salary for Senior Deep Learning Engineers typically ranges from $190,000 to $270,000 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 shape the future of deep learning? Apply now to join our team and drive innovation in deep learning engineering!
Join us and be part of a dynamic team shaping the future of AI technology.
Position Overview: As a Senior Deep Learning Engineer, you'll play a pivotal role in developing and implementing advanced deep learning models and algorithms. You'll work on a variety of projects, from computer vision and natural language processing to autonomous systems and robotics.
If you're a seasoned deep learning engineer with a passion for innovation and a track record of delivering impactful solutions, we want you on our team.
Requirements
Key Responsibilities:
1. Model Development: Design, develop, and implement advanced deep learning models and algorithms to solve complex problems across various domains.
2. Data Preparation: Collect, preprocess, and augment datasets to train deep learning models, ensuring data quality and diversity.
3. Model Training and Optimization: Train deep learning models using large-scale datasets, optimizing for performance, accuracy, and efficiency.
4. Model Evaluation: Evaluate the performance of deep learning models using appropriate metrics and validation techniques, iterating and refining models as needed.
5. Deployment: Deploy deep learning models into production environments, ensuring scalability, reliability, and performance.
6. Performance Optimization: Optimize the performance of deep learning models and systems, leveraging techniques such as distributed computing and GPU acceleration.
7. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to deliver end-to-end solutions that meet customer requirements.
8. 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.
• 5+ years of experience in deep learning engineering, with a focus on developing and deploying deep learning models and algorithms.
• 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.
Benefits
• Competitive salary: The industry standard salary for Senior Deep Learning Engineers typically ranges from $190,000 to $270,000 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 shape the future of deep learning? Apply now to join our team and drive innovation in deep learning engineering!
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