AI Researcher

As an AI Researcher, you will be at the forefront of developing innovative machine learning models and algorithms that address complex challenges across our organization. The role involves conducting original research, designing experiments, and interpreting results to drive product improvements and new capabilities. You will collaborate closely with data engineers, product managers, and domain experts to translate theoretical insights into practical applications, spanning areas such as natural language processing, computer vision, and reinforcement learning. Leveraging large‑scale datasets, you will apply advanced statistical techniques and deep learning architectures to enhance model accuracy, robustness, and efficiency. The position offers a fully remote arrangement, allowing you to work from any location within the United States while maintaining a collaborative environment through regular virtual meetings and shared documentation. We value curiosity, analytical rigor, and a commitment to staying abreast of emerging trends in artificial intelligence. Successful candidates will have a strong academic background and a proven record of contributing to peer‑reviewed publications or industry patents.

• Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related discipline.
• Minimum of three years of experience in machine learning, deep learning, or AI research.
• Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or Keras.
• Strong foundation in statistics, linear algebra, and algorithm design.
• Ability to process and analyze large datasets using tools like SQL, Spark, or Hadoop.
• Experience publishing research papers in top AI/ML conferences or journals.
• Excellent problem‑solving skills and attention to detail.
• Effective communication abilities, including presenting findings to cross‑functional teams.