Applied Machine Learning Engineer

# Applied Machine Learning EngineerOpenAI## Job Description# About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that artificial general intelligence benefits all of humanity. We believe our research will eventually lead to AI systems that can solve problems that currently require human expertise.# Role OverviewAs an Applied Machine Learning Engineer at OpenAI, you will bridge the gap between groundbreaking AI research and scalable production applications used by millions globally. You will collaborate with researchers, product managers, and systems engineers to optimize, deploy, and scale our state-of-the-art models like GPT-4 and custom reasoning architectures.# Responsibilities- Scale and optimize large language models for high-throughput, low-latency inference in production.- Build robust ML pipelines for fine-tuning, evaluation, and continuous integration of models.- Partner with product teams to design API endpoints and user-facing capabilities powered by advanced AI.- Monitor model performance, latency, and cost-efficiency, driving infrastructure improvements.# Requirements- Bachelor's or Master's degree in Computer Science or equivalent practical experience.- 4+ years of software engineering experience, with at least 2 years dedicated to ML systems or applied machine learning.- Deep understanding of distributed training, model parallelism, and modern inference engines (vLLM, TensorRT-LLM).- Proficiency in Python, C++, and deep learning frameworks.# Benefits- Industry-leading compensation including competitive salary and equity.- Comprehensive medical, dental, and vision benefits.- Unlimited paid time off and flexible remote work policies.- Wellness stipends and continuous learning allowances.## Skills & Tagspythonpytorchdistributed-systemsinferencemlopstransformers## Job DetailsFull-timeSan Francisco, CA$250k – $380k USDPosted August 6, 2026Expires October 5, 2026 #J-18808-Ljbffr