Top Artificial Intelligence Jobs

The Full Stack Developer will implement OpenAI and GPT-3 tools to develop processes for creating content and editing media for podcasts.

As a Senior Applied AI Engineer at Vanta, you'll design and implement AI-powered features, mentor engineers, and ensure AI systems improve customer experience, leveraging LLMs and full-stack development skills.

The Senior Software Engineer will build AI-driven backend systems for accounting, develop robust services, and collaborate with cross-functional teams.

Develop and integrate AI solutions for government customers, focusing on machine learning and deep learning technologies. Collaborate with teams and mentor juniors while providing technical reports.

The Social Media Coordinator & Content Creator will create engaging short-form video content, support social media planning, and manage influencer collaborations.

The AI Data Engineer will design and implement data pipelines, build AI-optimized data infrastructure, ensure data quality, and collaborate with teams to support AI applications.

The Senior Software Engineer will build evaluation infrastructure for AI systems, ensuring reliability and accuracy. Responsibilities include designing datasets, benchmarks, and test harnesses for AI behavior assessment.

As an Applied AI Research Engineer, you'll work on ML projects, build models, integrate them into platforms, and drive business impact through AI applications.

The role involves building tools for AI-assisted software development, optimizing workflow, and maintaining secure development environments.

The AI / ML Solutions Engineer will implement and scale machine learning workloads using Ray, advise customers on ML architecture, and enable MLOps teams through technical guidance and support.

The Senior Product Manager will oversee AI workflow development, drive product strategy, collaborate with engineering, and translate customer insights into actionable features.

The Backend Engineer for AI will develop AI-powered features, solving complex problems, collaborating with teams, and delivering impactful products.

As a Staff Data Scientist II, you'll develop AI-driven monetization strategies and lead the design of scalable machine learning systems, collaborating across teams to innovate ad technology.

Join our AI Ops & Strategy team to optimize workflows using AI, focusing on product, engineering, and operations, while empowering teams with tools and training.

Lead sales efforts for AI solutions at Labelbox, developing relationships with top AI labs and Fortune 500 companies, managing the sales cycle and ensuring client satisfaction.

The Head of Data & AI Enablement drives the enterprise data strategy, overseeing governance, analytics, and AI initiatives to enhance organizational decision-making.

The Sales Manager is responsible for leading, coaching, and driving sales teams to exceed targets, collaborating across departments, and ensuring professional growth.

Develop and maintain AI-driven features, design scalable data structures and pipelines, and enhance platform capabilities while collaborating with teams.

As a Platform Engineer, you will design and maintain infrastructure, deploy Unstructured AI applications in cloud environments, automate product updates, and ensure reliability.

The Applied AI Engineer will enhance generative AI capabilities through model development, integration, deployment, and collaboration with teams to create AI-driven products.

As a Forward-Deployed Engineer, you will design, develop, and deploy custom AI solutions, collaborating closely with clients and shaping the engineering culture.

The AI Engineer role involves optimizing language models for fraud detection and building backend infrastructure to support scalable operations for risk management and as well as developing efficient machine learning solutions.

The Product Manager, AI will lead product development from ideation to launch, working on AI-driven design and manufacturing workflows at Arcade.

The Ontology Engineer will design and implement semantic models for a new data platform, ensuring data interoperability and collaboration with AI teams.

Design, build, and deploy machine learning and generative AI systems, transforming prototypes into production systems while collaborating with technical teams.