Top AI Engineer Jobs

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

The Senior AI Engineer will develop and implement AI systems and archetypes for BioShock 4, collaborating across multiple teams while maintaining performance and quality standards.

The Solution Architect/AI Engineer IV will design and implement AI solutions, lead prototypes, develop APIs, and ensure system performance in a hybrid environment.

The AI Developer at Harvard Business Publishing will develop AI/ML infrastructure, support product teams, and drive innovation through AI applications.

Lead the technical strategy and execution of AI solutions, mentoring teams, engaging with customers, and ensuring product alignment with market trends.

As an Applied AI Engineer, you'll lead AI-driven product development, collaborate across teams, and innovate within the healthcare sector through AI solutions.

The AI Engineer is responsible for developing, deploying, and scaling AI solutions, collaborating with teams, optimizing performance, and driving delivery of AI components.

You will design and implement high-performance software while applying machine learning techniques to complex problems in electronic design automation.

Lead the design and implementation of AI-driven solutions to enhance AI adoption, develop standards, and partner with teams for strategic AI initiatives across Navy Federal Credit Union.

The Staff Cyber Security Engineer will focus on securing emerging technologies, particularly AI, partnering with business and IT teams to design secure solutions while also mentoring junior members and communicating security programs effectively.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Design and build core services for AI products, implement compliance guardrails, debug fullstack issues, and participate in code reviews.

Design, build and deploy cloud-native applications on AWS; improve developer productivity through AI; contribute to architecture and standards in a collaborative team.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

Design and implement automations and AI integrations within HR technology, focusing on systems like Moveworks and Workday HCM. Collaborate with stakeholders to ensure technical alignment with HR goals.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

The Senior AI Engineer will develop LLM-powered AI systems, build RAG pipelines, and solve complex information retrieval problems while collaborating cross-functionally to enhance Affinity's CRM platform.

The Generative AI Engineer will develop AI-driven features for medical records, collaborating with teams to create systems extracting and generating clinical insights from EHR data, while ensuring accuracy and clinical relevance.

Lead the design and deployment of machine learning models, develop large language models, design data pipelines, and provide technical mentorship.

As a Senior AI Engineer, you will design and implement AI solutions, collaborate with teams to define success metrics, and iterate on AI model performance.

As a Senior Applied AI Engineer, you will develop AI-driven learning tools focusing on personalization, ranking systems, and generative AI, while collaborating with product design and data science teams.