Top Artificial Intelligence Jobs

The GTM AI Engineer will build and operate AI-powered infrastructure for the company's marketing and sales, manage CRM automation, and design workflows to enhance team effectiveness.

As an AI Software Sales Representative, you'll manage inbound leads, qualify prospects, book demos, and maintain CRM records while driving sales growth.

As an AI Researcher, you will optimize inference performance for large-scale machine learning models by improving latency, throughput, and cost efficiency through various model and systems-level optimizations.

The AI Researcher will develop training optimization techniques, improve large model training efficiency, run experiments and publish research findings.

The AI Researcher will develop and evaluate model distillation techniques, analyze trade-offs, run experiments, publish research, and collaborate for production deployment.

The AI Researcher will design and execute research on multilingual datasets, improve cross-lingual transfer in language models, and publish findings at top conferences while translating research into production improvements.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

Lead architecture and implementation of the AI Private Banker full-stack platform: build Flutter mobile apps, design distributed backend services powering recommendation engines and conversational AI, integrate ML outputs into user experiences, drive technical roadmaps, mentor engineers, and ensure scalability and operational excellence across platforms.

The AI Software Developer will design, craft, and optimize AI prompts, moving prototypes to operational systems, and architect scalable infrastructures for agentic AI systems.

The role involves researching AI for robotics digital twins, developing frameworks, collaborating with teams, and enhancing capabilities of software tools.

The Senior AI Product Manager will bridge AI research and user experiences, ensuring product quality and leading rapid prototyping and market strategy.

Serve as the presales technical expert for ML capabilities: lead discovery, architect ML solutions, run demos/workshops/proofs-of-concept, coordinate cross-functional teams, and inform product direction based on customer feedback.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

The Solutions Architect will engage with strategic customers, design end-to-end solutions for AI-driven engineering workflows, and provide guidance on adoption strategies while collaborating with account teams and product stakeholders.

As a Senior ML Engineer, you'll design, develop, and deploy ML models for product features, collaborate with teams, and drive research initiatives.

The Simulation Engineer will work on AI solutions for CAE workflows, integrate AI technologies, engage with customers, and enhance AI software products.

The HPC Engineer will solve complex AI issues, integrate AI into CAE workflows, and collaborate with customers and the development team at Rescale.

The Application Engineer will develop AI Physics capabilities, work with customers to tailor solutions, and enhance product features based on customer feedback. Responsibilities include building AI-ready data pipelines and debugging complex issues in workflows.

Lead a specialist GTM pod to advise C-suite clients, design AI-driven commercial strategies, translate client pain into business cases, own segment strategy and post-close outcomes, and feed product/engineering with market intelligence to accelerate time-to-value and revenue.

The Senior AI Software Engineer will design scalable AI infrastructure, develop AI-driven features, and collaborate on product development, ensuring system reliability and performance.

The Staff AI Researcher will conduct applied research on LLM/VLM architectures, inference acceleration, and collaborate with engineering teams to optimize model deployment in electric vehicles.

The Applied AI Researcher will explore new AI system architectures, develop prototypes, analyze data, and redefine human-AI collaboration for enterprise applications.

Researcher will adapt foundation models for real-world applications, focusing on performance, alignment, and human-centric objectives to optimize AI systems for enterprises.

The Applied AI Researcher will design complex AI systems, integrate diverse components, and innovate in the utilization of AI for enterprise workflows. They will also conduct research on system interactions and workflows while building prototypes and demonstrating AI capabilities.