Machine Learning Engineer creating AI solutions that enhance operations and accessibility in Defense and Intelligence sectors. Collaborating on technical innovations and deployments while leveraging cloud environments.
About the role
- Intern in Machine Learning/Deep Learning at BeOne Medicines. Collaborating with leadership on high-impact AI modeling in Hematology and Oncology.
Responsibilities
- Translate scientific questions into a concrete modeling problem, including hypothesis, target variable, evaluation criteria, and success metrics.
- Audit, curate, and structure relevant datasets, which may include structured, unstructured, or multimodal biomedical data.
- Design, train, benchmark, and refine machine learning/deep learning models using modern methods appropriate to clinical and scientific problems.
- Deliver clean code, experiment documentation, and a final technical readout with recommendations for next steps beyond the internship.
Requirements
- Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
- Strong foundation in machine learning and deep learning.
- Strong programming skills in Python.
- Hands-on experience with one or more modern ML/DL frameworks such as PyTorch, TensorFlow, or JAX.
- Experience designing, training, evaluating, and debugging models on real-world datasets.
- Candidates must be legally authorized to work in the United States for the duration of the internship.
Benefits
- Medical
- Dental
- Vision
- 401(k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness
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Machine Learning Engineer creating AI and ML solutions to transform operations in the Defense and Intelligence sectors. Focusing on optimizing data accessibility and operationalization of AI and ML systems.
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