Top Remote AI Engineer Jobs

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

The role involves developing technical content, engaging with engineering teams, conducting competitive analysis, and leading go-to-market execution for AI inference products.

The AI Solutions Engineer develops and operationalizes AI tools, translating business needs into technology solutions, and overseeing infrastructure for AI adoption.

As a Staff Machine Learning Engineer, you will design and evaluate ML models, optimize performance, and work with stakeholders to deliver AI solutions.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

The AI Software Engineer will design and implement AI-powered features, focusing on machine learning models and their integration into production systems. Responsibilities include end-to-end development, experimentation with new tools, and improving software performance.

Lead the development of Big Data solutions and machine learning systems, mentor engineers, and maintain high standards of engineering excellence.

As an AI Engineer at Unify, you will develop and scale AI products and infrastructure, collaborating with teams to innovate workflows using AI technologies.

The Software Engineer, AI will develop intelligent systems for financial workflows, utilizing LLMs and other technologies to enhance bookkeeping and data processing for agriculture businesses.

Design and build production-grade AI systems, translating real-world problems into scalable AI-driven solutions while mentoring engineers and shaping technical strategy.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Develop and maintain web-based tools for AI/ML practitioners, improve model observability, enhance user experience, and collaborate cross-functionally. Drive product excellence and improve systems and codebase.

The role involves building AI-powered fashion automation systems using Clojure and ClojureScript, managing workflows, data models, and integrating LLMs for product recommendations and content generation.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

The Lead AI/ML Engineer evaluates emerging technologies, leads teams in adopting solutions, and provides technical leadership while mentoring junior specialists.

Design, build, and deploy AI features for claim synthesis; implement machine learning solutions and improve model performance through collaboration and evaluation.

Design and deliver customer-facing applications using Agentic technologies, maintain backend REST servers, and collaborate with cross-functional teams to build scalable solutions.

Design and implement AI-driven features for claims synthesis, leveraging LLMs and statistical techniques, while ensuring system performance and accuracy.

The Staff Software Engineer will lead the development of AI Claims Guidance software, building scalable APIs and backend services while collaborating with product and data teams to enhance insurance technology.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

Develop AI-driven solutions for offensive security, create machine learning models, mentor junior engineers, and collaborate with teams.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

The Principal Software Engineer will design and develop innovative AI-driven solutions for the banking industry, lead engineering teams, and ensure quality software practices while implementing GenAI applications within the SDLC.