Founding Machine Learning Engineer

Found in: beBee jobs US - 2 weeks ago


San Francisco, California, 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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