2027 Summer Intern, BS, Software Engineer, Model Eval
Full Job Posting
You will
Reading/writing pipeline and implementation code
Profiling and understanding slowness within distributed systems
Building custom harnesses to isolate components of the system
Querying existing logs and data sources for aggregate statistics
You have
Currently pursuing a Bachelor’s degree in software engineering or a related field
Working knowledge of Python
Understanding of ML fundamentals of training and evaluating models
The ability to use agents for learning and implementation, and the wisdom to know when each is appropriate
We prefer
Distributed systems analysis or optimization
Model performance techniques like sharding, quantization, and batching
Working knowledge of C++
General Perks
- Help solve challenging problems with a direct impact on the company
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
Onsite Perks
- Free breakfast, lunch, dinner, and snacks
- Free access to Google shuttles
- Onsite gym
- 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 Bachelors Pay
- $60 — $60 USD
Requirements
- Eval pipeline optimization (orchestration level): Finding opportunities to decrease e2e execution cost by reducing overhead or increasing parallelism in jobs
- Eval pipeline optimization (model level): Improving eval workload efficiency by improving exported model efficiency in CPU or TPU export configurations
- Pipeline observability: Providing insights and high level metrics on pipeline runtime and success rate
- LLM integration: Finding better ways to integrate agents with eval workflows. This could be making it easier for agents to run evals accountably, or making it easier for agents to contribute maintainable code to the eval codebase
About Waymo
Autonomous driving technology company and robotaxi service provider.
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