Top Machine Learning Jobs in Washington, DC

As a Staff Data Scientist at Quince, you'll develop predictive models, optimize marketing strategies, and integrate data insights to enhance growth and customer engagement.

As a Research Intern at Symbl.ai, you will assist in AI/ML research, deploying machine learning techniques, and contribute to the development of the Nebula LLM.

As a Machine Learning Engineer, you will design and maintain scalable infrastructure for AI systems, collaborate on model deployment, and ensure compliance and optimization.

As an ML Engineer at Symbl.ai, you will focus on developing and optimizing large language models, ensuring real-time inference capabilities while collaborating across teams to integrate and evaluate machine learning models.

As a Machine Learning Engineer, you'll develop algorithms for search and recommendation systems, run experiments, and optimize machine learning models while taking ownership from development to deployment.

Wizard is looking for a Staff Machine Learning Engineer to develop dialog systems. Responsibilities include building training pipelines for LLMs, deploying models, and addressing customer issues. A strong background in ML and Python is preferred.

The role involves building ML training pipelines, deploying LLMs on GPUs, and developing machine learning products. Candidates should have strong ML experience, especially in Python and PyTorch, with knowledge of systems at scale.

Lazarus seeks a Machine Learning Research Scientist to design and implement AI models, focusing on document understanding, NLP, and computer vision, while advancing core technologies and collaborating on impactful research.