Machine Learning Engineer, CHAOS Industries

• Master's and/or PhD degree in Computer Science, Machine Learning, or a related field with at least 2 years professional experience in Machine Learning
• Solid understanding of machine learning fundamentals and experience with deep learning frameworks (e.g., PyTorch)
• Extensive experience in training deep neural network models (such as training on multiple nodes/GPUs)
• Strong programming skills in Python, C++, or similar languages and Linux scripting
• Ability to thrive and collaborate in ambiguous environments, working closely with team members to solve challenging technical problems
• Excellent communication skills and the ability to work in a team environment

Desirable

• Chaos AI division is seeking a highly skilled and motivated engineer to join our team. You will be responsible for developing, implementing, and maintaining our AI solutions related to vision, language, and other modalities
• You will work closely with other engineers, data scientists, and product managers to design and build scalable and reliable AI-powered solutions that can process vast amounts of documents efficiently
• Design and develop novel models that effectively combine information from vision and language models
• Research and explore the latest advancements in multimodal machine learning, LLMs and related fields through continuous learning and professional development activities
• Preprocess and curate datasets to ensure they are suitable for training the proposed models
• Evaluate and analyze model performance on various tasks and datasets to identify areas of improvement
• Optimize hyperparameters and model configurations to achieve the best performance across different modalities
• Apply transfer learning techniques to enhance model generalization and reduce training time
• Collaborate with cross-functional teams and develop APIs to integrate our technology into existing systems
• Assist in the deployment of trained models to production environments and monitor their performance to ensure reliability and scalability
• Work with product managers to define requirements and develop solutions that meet business needs
• Maintain detailed documentation of model designs, implementation, experiments, and results for knowledge sharing and future reference
• Work full-time onsite out of our office in Hawthorne, California