Founding Machine Learning Engineer

Found in: beBee S US - 2 weeks ago


San Francisco, United States Zep AI Full time

Zep is building the long-term memory layer for the LLM application stack. We have a large and active open-source community and recently launched our cloud service. We are seeking an experienced ML Engineer to join our startup. As a critical member of our small, high-performance team, you will be responsible for model selection, evaluation, and performance, and the processes and tools around supporting activities.

We are a remote-first organization. Zep is funded by YC, Engineering Capital, and angels such as Guillermo Rauch (Vercel). Responsibilities

- Full lifecycle of LLM development: model selection, finetuning, and model and prompt evaluation.

- Implement model and prompt evaluation infrastructure, process, and metrics to support rapid deployment of new product

- Supporting and optimizing low-latency inference solutions using Triton Inference Server, TensorRT-LLM, and vllm

- Collaborate with the team to develop and deploy LLM applications

- Contribute to the entire development lifecycle, from ideation to deployment and maintenance Requirements

- 5+ years of experience in ML engineering, with 12 months or more focus on LLM applications

- Strong understanding of LLM models and LLM inference

- Expertise in model evaluation approaches and metrics

- Hands-on experience with low-latency inference technologies (e.g., Triton Inference Server, TensorRT-LLM, vllm)

- Highly proficient in Python

- Strong familiarity with Kubernetes

- Strong familiarity with AWS and Azure

- Familiarity with guided LLM output techniques Nice to Have

- Experience with Rust or Go

- Contributions to LLM-related open-source projects

- Knowledge of advanced NLP techniques and architectures Benefits

- Directly impact the development of the future LLM application stack

- Competitive salary and equity compensation

- Flexible work hours and remote work options

- Health, dental, and vision insurance


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