Top AI Engineer Jobs

The Software Engineer on Applied AI will build and operate data systems, interface with researchers, and ensure quality in model evaluations and infrastructure improvements.

The AI Lead Engineer will create AI tools, partner across teams to build scalable solutions, and ensure responsible AI practices while measuring business impact.

As an AI Software Engineer, you will design and implement software solutions for healthcare automation, primarily using Python and integrating AI/ML models.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

As a Solutions Engineer, you will work with customers to adopt Physics AI, lead technical evaluations, and demonstrate platform capabilities while designing solutions for CAE workflows.

The Senior Machine Learning Engineer will build Next-gen AI based search systems, optimize ML architectures, and collaborate on search-related projects within a dynamic team.

The Sr. AI Application Engineer will develop and deploy advanced AI systems for engineering applications, focusing on machine learning, optimization, and integration of AI in engineering workflows.

The intern will develop AI applications, automate workflows, integrate enterprise systems, and assist with IT operations in a global tech environment.

As a Senior Software Engineer, Applied AI, you'll build user-facing and backend systems leveraging GenAI, focusing on AI integration, UI development, and operational excellence across Okta's internal platforms.

As a Senior Machine Learning Engineer at Unity, you will design and implement advanced prediction models for ad ranking, ensure model quality, and collaborate with teams on engineering strategy.

Design and develop deep learning software, optimize training frameworks, prepare ML models for scale, and implement AI productization platforms.

The Senior AI/ML Engineer will develop new AI/ML models using Python, leveraging OPIR domain expertise, and work closely with customers. Requires a Master’s in AI/ML and extensive experience in developing AI/ML algorithms.

The Senior AI Data Engineer will design and implement LLM-powered data pipelines for audience measurement and work closely with cross-functional teams to integrate AI solutions into media workflows.

Manage developer and partner ecosystems for Edge AI and Functional Safety, guiding technical integration and adoption of NVIDIA technologies.

Lead design, deployment, and operation of large-scale GPU AI/HPC compute clusters. Develop automation, manage compute/network/storage, support researchers with performance tuning, conduct root-cause analysis, and maintain heterogeneous on-prem and cloud clusters to meet evolving user needs.

Lead the development of AI software resiliency features, optimizing system reliability for large-scale AI supercomputers, coding in C++ and Python, collaborating across teams, and managing deployments.

The role involves designing AI systems for IC calibration and optimization, collaborating with design teams, and applying ML techniques to analog/mixed-signal circuits.

The AI Native Engineer will identify AI opportunities, design workflows, build prototypes and manage stakeholder communication. Experience with AI and business processes is essential.

Architect AI-driven solutions for Employee Experience at Airbnb. Build prototypes, integrate systems, ensure ethical design, and collaborate across teams.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

The AI Research Engineer will design and implement ML models, develop RL algorithms, and collaborate on integrating ML systems, enhancing AI experimentation.

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

As an AI-native Software Engineer, you will optimize developer experience and create tools for AI coding to enhance efficiency at Cartesia.

The Product Marketing Manager will drive go-to-market strategies for experimentation products, enhancing customer adoption and coordinating between product, sales, and marketing efforts.

The role involves developing and deploying large language models for healthcare, applying advanced ML techniques, and collaborating with interdisciplinary teams.