2027 Summer Intern, PhD, Software Engineer, Simulation

Responsibilities

• Implement uncertainty aware algorithms that improve the performance of transformer-based multi-task classifiers
• Implement the changes end-to-end, including eval
• Ensure both data and model implementation are correct according to the experiment plan. Pay attention to details about the mechanics of the modeling setup

Requirements

• Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related quantitative field
• Strong programming proficiency in Python and hands-on experience with deep learning frameworks (e.g., TensorFlow, JAX)
• Solid theoretical understanding of machine learning and deep learning fundamentals, including debugging transformer based models with TensorBoard metrics
• Familiarity with software development best practices, including version control

Preferred

• Uncertainty measurement in deep learning model development

We prefer

Hands-on experience using data to improve model performance, as opposed to only focusing on architectural model improvements

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly PhD Pay

• $85
• $85 USD