Deep Learning Research Intern: Mentored, In-Person

Quant Blueprint LLC; New York (NY); On-site; USD 270,000 - 330,000; Full time

Benefits offered by this job

Accommodation provided

Job summary

Quant Blueprint LLC is seeking a dedicated student-intern to research deep-learning models, using large datasets and modern training infrastructure. Projects include representation learning, transformers, foundation models, generative AI and reinforcement learning with mentorship.

Applicants should be pursuing a Bachelor’s, Master’s or PhD in computing or a quantitative field, graduating in 2027–2028, with hands-on experience in Python and ML frameworks.

Qualifications

• Bachelor’s, master’s or PhD student in computing, ML or related field, graduating 2027–2028.
• Applied deep-learning experience with Python and ML frameworks; publications or open-source work is a plus.
• No finance experience required.

Responsibilities

• Research deep-learning models using large datasets and modern training infrastructure.

Skills

Applied deep-learning

Python

PyTorch

JAX

TensorFlow

Education

Bachelor’s, Master’s or PhD student

Tools

Python

PyTorch

JAX

TensorFlow

Job description

Quant Blueprint LLC is seeking a dedicated student-intern to research deep-learning models, using large datasets and modern training infrastructure. Projects include representation learning, transformers, foundation models, generative AI and reinforcement learning with mentorship.

Applicants should be pursuing a Bachelor’s, Master’s or PhD in computing or a quantitative field, graduating in 2027–2028, with hands-on experience in Python and ML frameworks.