> Markdown version of [/jobs/ext/527504-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/527504-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). --- # Machine Learning Engineer - **Company:** Robinhood - **Location:** Menlo Park, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $133,952.0 - $245,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Machine Learning, Regression Testing, Large Language Models, Information Technology, Machine Learning Operations, Api Design, Data Pipelines, Microservices - **Published:** June 5, 2026 - **Apply:** https://www.dice.com/job-detail/c7458980-010b-42ab-b986-bf890dc6d243 ## About the Role * Bachelor's degree or foreign equivalent in Computer Science or related field and three years (3) of experience in AI, Machine learning, job offered or related occupation. * Education and/or experience must include 3 years of experience with each of the following skills is required: * Designing and deploying machine learning systems using production-grade frameworks for training, optimization, and service integration. * Implementing scalable data pipelines using distributed compute frameworks to process, validate, and version large datasets. * Building and fine-tuning large language models using techniques such as LoRA, RLHF, retrieval augmentation, and prompt optimization. * Developing high-performance inference systems by applying quantization, pruning, distillation, and hardware-aware optimization. * Engineering retrieval-augmented generation pipelines with vector indexes, embedding workflows, and document-chunking strategies. * Authored production-ready microservices that expose model inference endpoints with robust API design, containerization, and orchestration. * Constructing automated AI evaluation frameworks including metric suites, safety checks, hallucination detection, and regression testing. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [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) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)