> Markdown version of [/jobs/ext/2768994-ai-ml-senior-associate-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2768994-ai-ml-senior-associate-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML - Senior Associate - Machine Learning Engineer - **Company:** CHATGPT LLC - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $145,600.0 - $228,800.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Machine Learning, Chatbots, Large Language Models, GPT - **Published:** September 7, 2026 - **Apply:** https://nlppeople.com/apply/wcyl ## About the Role 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.Hands-on production experience with JAX at scale.Experience writing or optimizing custom GPU kernels using Pallas or Triton.Demonstrable career progression.Ability to engage reliably for at least 40 hours/week during weekdays.Strong written communication skills and the ability to explain complex technical decisions clearly., Senior (5+ years of experience) Tagged as: Industry, NLP, United States ## Description Location: Remote (San Francisco, CA)Position: JAX ExpertType: ContractCompensation: $70-$110/hourCommitment: 40 hours/week Role Responsibilities Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.Design challenging, domain-relevant tasks and write accurate, well-structured solutions to MLOps and ML systems problems.Evaluate MLOps tasks and solutions and provide clear, written technical feedback.Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.Collaborate with other subject matter experts to ensure consistency and accuracy in training data. ## Related Videos - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Best AI Chatbots: ChatGPT and Other Alternatives](https://www.wearedevelopers.com/magazine/236-the-best-ai-chatbots-chatgpt-and-other-alternatives) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Is ChatGPT Getting Worse Over Time?](https://www.wearedevelopers.com/magazine/337-is-chatgpt-getting-worse-over-time) - [How to Tell if Something Was Written by ChatGPT](https://www.wearedevelopers.com/magazine/314-how-to-tell-if-something-was-written-by-chatgpt)