Sr. AI Research Engineer

1 week ago


San Diego, United States Nelson Connects Full time

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:

• 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.



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