Sr. AI Research Engineer

Reporting to the Vice President, of Engineering-Analytics, the Senior DL/AI Research Engineer will

be responsible for developing and implementing advanced deep learning and artificial intelligence

models to solve complex problems across various domains. This role requires a strong foundation

in machine learning algorithms, deep learning frameworks, and the ability to translate theoretical

concepts into practical applications.

Responsibilities:

To perform this job successfully, an individual must be able to perform each essential function

satisfactorily.

• Research and Development

• Conduct original research and develop DL/AI models under the guidance of senior researchers.
• Develop novel algorithms and models to address challenging problems
• Contribute to research papers for conferences and journals
• Stay updated with the latest advancements in the field and apply them to current projects

• Model Development and Evaluation

• Design and execute experiments to validate DL/AI models
• Optimize model performance and scalability
• Perform rigorous testing and validation to ensure robustness and accuracy

• Data Management

• Preprocess and analyze large datasets to extract meaningful insights
• Develop and maintain data pipelines to support model training and evaluation

• Documentation and Reporting

• Maintain detailed research documentation, technical reports, and code for reproducibility and transparency
• Prepare technical reports and presentations to share results with internal and external stakeholders

• Code Development

• Write and maintain research code

Background Required:

• Must have a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

• 0 – 2 years of experience.

• Strong publication record in top-tier AI, machine learning, and related conferences and

journals.

• Proven experience in developing and implementing machine learning and deep learning

algorithms.

• Proficiency in programming languages such as Python or C++, and familiarity with ML

frameworks such as TensorFlow, JAX or PyTorch.

• Strong communication skills, both written and verbal, with the ability to present complex

technical information to a diverse audience.

• Excellent problem-solving skills and the ability to work independently as well as part of a

team.