Senior Machine Learning Engineer, Agentic Systems
Job Description
Responsibilities
- Design and optimize scalable ML infrastructure to support training, evaluation, and deployment of large language models.
- Create abstractions that automate steps across diverse ML workflows.
- Collaborate with cross-functional teams of engineers, data analytics, ML experts, and product to build new features.
- Apply your experience to drive best practices in ML and data engineering.
Requirements
- 5+ years of industry experience in Machine Learning, Infrastructure or related fields
- Experience with deep learning frameworks such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM
- Experience building and scaling end-to-end machine learning systems
- Experience building scalable microservices and ETL pipelines
- Expertise in Python and experience with performant languages such as C++ or GoLang
- Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or equivalent field
- A love of research publications in the machine learning and software engineering communities
- Effective communicator with experience collaborating cross-functionally with other teams
Technologies
- Pytorch
- Huggingface
- vLLM
- TensorRT-LLM
- Python
- C++
- GoLang
Location
Mountain View, CA (onsite)
Base salary
Base salary range: USD 161,300 - 274,200 per year
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