AI Research Engineer - Machine Learning

Our client, a pioneering technology company at the forefront of AI and Emerging Technologies, is seeking a brilliant and innovative AI Research Engineer to join their cutting-edge research lab in Los Angeles, California, US . This role is instrumental in pushing the boundaries of artificial intelligence, focusing on the development and application of advanced machine learning models. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong theoretical foundation and hands-on experience in developing and deploying ML algorithms. You will be responsible for conducting research, prototyping new AI solutions, and collaborating with engineering teams to integrate these solutions into real-world applications. This position demands exceptional problem-solving skills, a deep understanding of statistical modeling, and proficiency in programming languages such as Python. Key responsibilities include exploring novel ML architectures, developing robust training pipelines, evaluating model performance, and contributing to academic publications and patents. You will work on challenging problems in areas such as natural language processing, computer vision, or reinforcement learning. A proactive approach to staying abreast of the latest advancements in AI research is essential. We are looking for a highly motivated individual who can contribute to a collaborative research environment and drive innovation. The successful candidate will have a proven ability to translate complex research concepts into practical, scalable solutions and a passion for shaping the future of AI. This is a unique opportunity to work with world-class researchers and engineers on transformative AI projects. Responsibilities:

Conduct cutting-edge research in machine learning, deep learning, and artificial intelligence. Design, develop, and implement novel ML algorithms and models. Build and optimize robust training and inference pipelines. Evaluate and benchmark model performance using appropriate metrics. Collaborate with engineering teams to integrate AI models into production systems. Explore new AI research areas and identify opportunities for innovation. Stay current with the latest advancements and research trends in AI and ML. Publish research findings in top-tier conferences and journals. Mentor junior researchers and contribute to a collaborative team environment. Contribute to the development of intellectual property and patents. Qualifications:

Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Minimum of 5 years of research experience in AI/ML. Deep understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras. Experience with data preprocessing, feature engineering, and model evaluation. Strong publication record in reputable AI/ML venues is a significant plus. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration abilities. Experience with cloud platforms (AWS, GCP, Azure) is advantageous. Demonstrated ability to conduct independent research and drive projects to completion.