Top Artificial Intelligence Jobs

Develop tools for AI performance and efficiency, including profiling, debugging, and benchmarking for GPU clusters. Collaborate with various teams to optimize software and hardware solutions.

Conduct performance analysis on AI workloads for large GPUs and CPU clusters focusing on deep learning, networking, and optimization. Collaborate with teams to define performance expectations and test plans.

The AI Solution Director leads a team focusing on AI content and innovation, ensuring project delivery aligns with client expectations, innovation goals, and financial impact. They drive sales processes, establish operational workflows, manage AI production strategies, and oversee R&D teams to achieve quarterly targets and enhance client relationships.

The Head of AI Protein Design will lead protein design campaigns using AI, manage a team, and shape scientific strategy in applications for disease treatment.

As an AI/ML Engineer, you will design, train, and deploy machine learning models, optimize model performance, and collaborate with cross-functional teams to integrate AI capabilities into products.

Responsible for designing scalable ML infrastructure, optimizing performance for LLMs, implementing CI/CD pipelines, and mentoring junior engineers in AI/ML practices.

As a Staff Engineer, lead engineering teams, drive solutions for enterprise-class applications, mentor junior staff, and ensure high-quality product delivery.

Lead technical strategy and architecture for AI projects, manage client engagements, mentor engineers, and drive innovation in machine learning solutions.

Design and maintain production-grade ML systems, develop generative AI models, architect data pipelines, and collaborate with teams to solve business problems.

As an Applied AI Researcher, design and maintain complex AI/NLP models for Verneek's platform, solving unique and impactful problems.

Develop and implement AI technologies in tax software, build APIs, and create UI for an embedded tax platform while collaborating with teams.

The Applied AI Software Engineer will evaluate LLM-based agents, manage benchmarking, and ensure performance, safety, and reliability in healthcare settings. Responsibilities include designing evaluation plans, running experiments, collaborating with teams, and developing internal tooling for AI features.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Manage Zinnia's Data & AI Insights program, working across stakeholders to deliver impactful data products for clients in the Life & Annuities sector.

The AI Applications Engineer will lead technical support initiatives, develop demos and benchmarks, and provide customer training using Quadric's SDK. This role requires expertise in system architecture and optimization strategies, along with strong coding skills and the ability to troubleshoot complex issues.

The Head of AI will lead AI initiatives across the business, overseeing the development of scalable AI solutions, and ensuring alignment with business strategy. Responsibilities include team building, strategy definition, analytics, experimentation, and cross-functional collaboration to optimize processes and drive revenue growth.

As the Head of AI, you will lead the AI strategy, manage a multidisciplinary team, and implement AI solutions to enhance business efficiency and revenue through data-driven insights.

Lead AI/ML solution development for national security, guiding technical projects and compliance, while mentoring teams and engaging clients.

This role involves designing AI infrastructure, optimizing data pipelines, and collaborating with AI research teams, focusing on machine learning challenges.

As a Product Analyst - AI, you'll integrate AI insights into NISC's software, defining requirements, analyzing user interactions, and collaborating on model performance to enhance AI features.

The Group Product Manager will lead a team to build next-gen AI infrastructure services, overseeing product strategy and cross-functional collaboration to meet AI workload demands.

The AI Software Engineer will design, develop, and deploy autonomous AI systems, handling the entire lifecycle of AI products from concept to production in a startup-like environment.

The AI Software Engineer Intern will contribute to building AI products and intelligent agents, implement autonomous systems, and assist in rapid prototyping of AI solutions.

The role involves developing AI-driven applications using LLMs and CNNs, building scalable backend systems, and optimizing data engineering processes. It requires collaboration with cross-functional teams and continuous innovation in AI technologies.

The Sales Development Strategist will drive outbound pipeline growth using AI tools and creative prospecting strategies to generate qualified leads and maintain CRM data.