Top Artificial Intelligence Jobs

As a Research Engineer, you will tackle AI safety challenges, develop evaluation methodologies, conduct adversarial testing, and work on model alignment and interpretability. You'll bridge theoretical and practical applications of AI safety research and collaborate with product teams to implement safety solutions.

As an AI Strategist, you'll guide clients through AI discovery, conduct research on AI behavior, and develop industry-standard playbooks, bridging technical and strategic insights.

The Lead Bioinformatics AI Scientist will lead AI and GenAI R&D initiatives to develop advanced clinical testing and genomic data analysis platforms, leveraging expertise in bioinformatics and machine learning.

Responsible for bioinformatics ML/AI application development in clinical settings, designing and deploying ML/AI solutions, and collaborating with multidisciplinary teams.

The Principal AI Platform Engineer will design and maintain the infrastructure for AI systems, ensuring integration, security, and scalability for GenAI products.

The Senior AI Engineer will develop AI systems, design APIs, deploy models, and mentor junior engineers, focusing on producing reliable software solutions.

Design and develop conversational AI solutions, interface with clients, create dialogue flows, and optimize performance based on data analysis. Manage multiple projects with minimal guidance while applying NLP concepts.

As a Principal AI Engineer, you'll design scalable AI systems, mentor teams, develop large-scale LLMs, and optimize AI-driven cybersecurity solutions.

The Forward Deployed AI Engineer will work with CPG companies to solve fragrance challenges using AI, build prototypes, and implement solutions. This role involves collaboration across teams, technical leadership, and contributing to business growth.

Design and deliver scalable multi-petabyte storage systems for AI workloads, optimizing performance, cost, and reliability in a Kubernetes environment.

The AI Engineer will design and build AI systems using LLMs, develop agent workflows, implement APIs, and collaborate with teams to optimize AI applications.

The AI Engineer will prototype and implement innovative document search methods, owning impactful projects as part of Humata's cognitive architecture team.

The Senior Software Engineer will build and maintain backend infrastructure for an AI discovery platform, mentor junior engineers, and influence architectural decisions.

The SME will develop and record engaging AI for Sales course content, guide learners, and ensure the curriculum aligns with industry trends and best practices.

This role requires the creation of a course on AI for Client Success and Account Management, including recording videos and collaborating with a design team to shape content.

The SME will develop and teach a 5-week online course on AI for Business Analysis, focusing on upskilling analytics capabilities. Responsibilities include creating content, recording videos, collaborating with learning designers, and ensuring quality learner engagement and success.

The SME will design an AI for Project Management curriculum, create engaging content, and inspire learners on applying AI tools effectively in project management.

The Senior AI Engineer will develop, train, and validate algorithms using AI, ML, and DL technologies, lead a team, and ensure quality and timely project delivery.

The Senior AI Engineer will develop, train, and validate AI and ML algorithms, lead a team, and enhance decision support products.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.

The Senior Manager of AI Innovation leads AI/ML research for robotics, driving innovation projects and managing a team. Responsibilities include overseeing project lifecycles and ensuring successful AI technology deployment across robotic systems.

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

As an Applied AI Engineer, you'll enhance Console's AI platform by building product flows, automating processes, and improving user experience through data insights.

The Gen AI Developer will design and deploy generative AI systems, build applications from prototypes to production, and collaborate with product teams.

Lead multimodal AI research by designing architectures fusing language and vision, develop training pipelines, evaluate models, and collaborate on product development.