DEEP LEARNING ENGINEER

RPM Deep Learning Engineer based in San Francisco. Permanent position.

About the role

We are looking for a Deep Learning Engineer to join our team. You will work on cutting-edge projects that push the boundaries of machine learning and artificial intelligence. This role involves developing, training, and optimizing deep learning models to solve complex problems in media and technology.

Responsibilities

• Design, implement, and train deep learning models for various applications.
• Optimize models for performance, scalability, and efficiency.
• Collaborate with cross-functional teams to integrate models into production systems.
• Stay updated with the latest research and advancements in deep learning and AI.
• Conduct experiments, analyze results, and iterate on model improvements.
• Document processes, methodologies, and findings for internal and external use.

Requirements

• Strong background in machine learning, deep learning, and neural networks.
• Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, augmentation, and model evaluation techniques.
• Solid understanding of algorithms, data structures, and software engineering principles.
• Ability to work in a collaborative environment and communicate complex ideas effectively.
• Passion for innovation and problem-solving in the field of AI.

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, or a related field.
• Proven experience in developing and deploying deep learning models in real-world applications.
• Publications or contributions to the AI/ML research community are a plus.
• Experience with cloud platforms (AWS, GCP, Azure) and distributed computing is desirable.