Top Software Engineer Jobs

Seeking Data Scientists and Senior Data Scientists to innovate with Generative AI for marketing. Responsibilities include developing tools for content generation and audience insights. Senior roles will mentor and lead projects.

Responsible for supporting, improving, and scaling an internal AI application while ensuring operations for infrastructure and application solutions are reliable and sustainable through automation.

As a Senior/Staff AI Software Engineer, you will design and build scalable backend services, lead technical projects, mentor engineers, and engage with clients, utilizing technologies like Python and FastAPI.

The AI Specialist role involves driving AI adoption, building use cases, collaborating with technical teams, and communicating progress to stakeholders.

The Director of Engineering, AI Enterprise will lead the AI Solutions team, design AI/ML products, and engage with fortune 100 clients to deliver impactful solutions.

Join the Snowflake team to design, implement, and optimize machine learning systems that impact developer productivity and platform efficiency. Collaborate with diverse teams on ML tools and infrastructure while enhancing software engineering practices.

Lead and manage the development of innovative AI solutions for content safety at Roblox, overseeing machine learning systems and engineering teams.

As a Fullstack Software Engineer, collaborate to enhance an AI-driven contract management platform, working with cross-functional teams to deliver user-centric solutions.

Lead the AI Agents team to develop multimodal AI systems, ensuring ethical integration and delivering innovative customer experience solutions using machine learning.

The Principal Machine Learning Engineer will develop ML solutions using advanced models, collaborate with teams, and leverage cloud resources for applying ML products at scale.

As a Lead Frontend Engineer, you will develop user interfaces for AI systems, collaborating with researchers and engineers to create functional prototypes and improve UX based on user feedback.

Lead a team of software engineers at Google DeepMind, driving technical strategy for the Gemini API, ensuring scalable and high-performance AI solutions, and providing hands-on development and mentorship.

As a Lead AI Engineer, you'll oversee AI architecture, mentor engineers, collaborate across teams, and ensure high-quality code for Project Sirius in the Witcher universe.

The Senior Generative AI Software Architect leads the design of scalable AI systems, collaborates with stakeholders, ensures integration, and mentors teams to leverage generative AI technologies.

The Senior Generative AI Enterprise Architect defines and implements enterprise strategies for generative AI, designs systems, and oversees integrations with business processes to enhance innovation and performance.

Lead AI/LLM engineering team, develop scalable LLM systems for content moderation, manage team performance, and align solutions with strategic goals.

Seeking a Senior Full Stack Engineer to design and implement agentic AI systems, enhance existing products, and lead engineering efforts in a startup environment.

The Architect for AI & Automation will design and implement scalable AI solutions for internal systems, collaborate with leadership, and mentor engineers.

As a Senior Software Engineer, you will design and enhance AI-powered solutions, mentor engineers, and drive impactful software development.

The role involves driving ML systems for search and discovery, optimizing search stack, and collaborating across teams to enhance e-commerce experiences.

The role involves modernizing a .NET Azure application, focusing on performance and scalability while integrating AI development tools and mentoring junior developers.

Lead AI development and implementation at StubHub, design AI tooling, develop ML models, and establish AI best practices while collaborating with cross-functional teams.

Lead the development and implementation of AI-driven capabilities, design tooling, develop machine learning models, and establish best practices for AI adoption.