Summer Intern: ML Model Optimization Engineer (MS/PhD)

Waymo LLC; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Housing/relocation bonus (if housing)

Medical insurance

Dental insurance

Vision insurance

Free intern events

Onsite gym

Free breakfast/lunch/dinner

Job summary

Waymo LLC in Mountain View, CA offers a hybrid onsite internship focused on Model Optimization & ML Runtime for perception models. You will design and benchmark LoRA modules, develop distillation pipelines, and validate quantization with low latency on onboard compute.

Candidates pursuing a PhD or Master’s in CS/EE/ML/Robotics with Python and JAX/Flax or PyTorch/TF should apply; internship includes mentorship and housing/relocation assistance where applicable.

Qualifications

• Currently pursuing a PhD or Master's in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related technical field.
• Strong software engineering and deep learning development skills in Python and modern frameworks (JAX, Flax, PyTorch, or TensorFlow).
• Solid theoretical understanding and hands-on experience with deep learning foundation models, Transformer architectures, and multi-task learning.
• Experience with model compression, parameter-efficient fine-tuning (e.g., LoRA, QLoRA, adapters), or quantization and knowledge distillation techniques.

Responsibilities

• Design, implement, and benchmark parameter-efficient fine-tuning (LoRA / QLoRA) modules in JAX/Flax for multi-task Vision Transformer backbones
• Develop dual-level distillation pipelines to mitigate multi-task regressions during large-scale data scaling
• Collaborate with model optimization, quantization, and latency teams to validate static weight folding and low-precision quantization
• Conduct extensive empirical ablations and evaluate perception metrics on large-scale autonomous driving datasets across diverse geographic domains

Skills

Python

JAX/Flax

PyTorch

TensorFlow

Deep Learning

Multi-task Learning

Education

PhD candidate in CS/EE/ML/Robotics

MS candidate in CS/EE/ML/Robotics

Tools

JAX

Flax

PyTorch

TensorFlow

Job description

Waymo LLC in Mountain View, CA offers a hybrid onsite internship focused on Model Optimization & ML Runtime for perception models. You will design and benchmark LoRA modules, develop distillation pipelines, and validate quantization with low latency on onboard compute.

Candidates pursuing a PhD or Master’s in CS/EE/ML/Robotics with Python and JAX/Flax or PyTorch/TF should apply; internship includes mentorship and housing/relocation assistance where applicable.