> Markdown version of [/jobs/ext/2147283-machine-learning-inference-engineer](https://www.wearedevelopers.com/jobs/ext/2147283-machine-learning-inference-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). --- # Machine Learning Inference Engineer - **Company:** Oscar Technology - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Pytorch, TensorRT, Hardware Infrastructure, Stable Diffusion, Microservices - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/468718e2-f925-449f-bd85-bbb5126819da ## About the Role An AI Unicorn startup is hiring a Senior Machine Learning Inference Engineer for a full-time role. You will be responsible for improving efficiency for AI-native infrastructure powered by generative and multimodal models. The ideal candidate has over 3 years of professional experience and a strong understanding of GPU infrastructure, Python, and PyTorch. This is a highly autonomous role with significant ownership across inference systems and model performance in production. This role is hybrid in San Francisco Bay Area and offers full benefits and equity. Experience: * Building AI applications at scale from the ground up * Strong understanding of GPU infrastructure including Triton, TensorRT, or vLLM frameworks Hands-on experience with Python and PyTorch * Building model-serving Microservices * Diffusion and Multimodal model experience is a plus ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)