You will:- Train & evaluate Loss of Control model to evaluate quality impact of your changes.
- Leverage existing learned models to derive signal on data quality.
- Design & implement measures of effectiveness of said signals.
- Develop or augment data pipelines to annotate synthetic training data with said signals.
You have:- Currently enrolled in a PhD program.
- ML coding in Python (e.g JAX or Pytorch).
- Strong knowledge of foundational statistics & math.
- Familiarity with neural networks.
We prefer:- Familiarity with C++, especially in the context of data processing pipelines.
- Prior experience with robotics or prediction problems.
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
