Top AI Engineer Jobs

As a Staff Computer Vision AI/ML Engineer, you will lead a team to develop and deploy AI/ML algorithms in remote sensing, including analyzing datasets and training deep learning models.

Lead a small team to research, develop, optimize, and deploy computer vision AI/ML algorithms for remote sensing (EO/SAR) and ATR. Analyze large datasets, research multimodal fusion, train and deploy deep learning models, review literature, produce technical documentation, and mentor junior engineers while interfacing with program leadership and customers.

Lead end-to-end mechanical hardware design for a large-scale satellite constellation, including deployable radiators, large solar arrays, fluid distribution, and high-volume producibility. Drive system requirements, rapid design iteration, testing, DFM, supply chain/product lifecycle, and on-orbit performance. Own delivery from concept through production and launch, ensuring reliability, manufacturability, and cost-effective high-volume production.

Lead development and deployment of bandit models and large-scale neural networks for monetization. Collaborate cross-functionally, drive product and business decisions, mentor engineers, and ensure scalable, high-quality ML solutions across the ML stack (training, fine-tuning, evaluation, deployment, and monitoring).

Design, train, evaluate, deploy, and monitor large-scale ML systems (LLMs and bandits) for Duolingo Monetization. Collaborate cross-functionally, drive product decisions, mentor engineers, and ensure scalable, high-quality solutions.

Lead architecture and delivery of an internal AI/agent platform used across product teams. Design agent runtimes and SDKs, define release gates (evals, safety, telemetry, AuthX), set standards for prompt management and model selection, partner with product teams to integrate reusable platform capabilities, write and ship production code, and mentor engineers to raise company-wide production quality for agentic systems.

Lead integration strategy and execution for Zoox's agentic platform. Collaborate with teams on tool integration, debug failures, and ensure resource readiness for production. Define integration artifacts and contribute to release processes.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

Own technical and scientific delivery of consumer weather verticals: build data pipelines and production APIs from model output, integrate LLM-driven content generation, collaborate with research scientists for evaluation and operationalization, and shepherd experiments from labs into flagship products while partnering with product, design, and engineering.

Build and launch full-stack features for Kapwing Studio, design and implement LLM-powered pipelines and generative model prototypes, test and monitor releases, and integrate ML-powered APIs to automate video and visual content editing.

Lead technical and scientific delivery of consumer weather verticals: translate model output into data pipelines, APIs, and product integrations; integrate LLM-driven content generation; collaborate with research scientists, product, design, and front-end teams to graduate experiments to flagship products.

Lead design, build, and operate platform-level IAM services across the stack. Define APIs, data models, and orchestration surfaces. Research and deliver Identity-for-AI capabilities and prototypes, collaborate with product and UX, mentor engineers, and support production lifecycle activities using modern AI tooling to accelerate development.

Build and operate IAM capabilities across the Ping platform: design and implement APIs, services, workflows, and orchestration. Research and prototype AI/agent identity solutions, collaborate with product and UX, participate in full lifecycle development, and support production systems while using AI tooling to accelerate engineering work.

Lead design and deployment of AI-driven predictive maintenance solutions for facilities. Analyze workflows, build/train/deploy ML models, integrate sensor/IoT data, ensure security/compliance in a classified on-site environment, validate models, run stakeholder working sessions, and provide technical documentation and training.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

Design, develop, and optimize algorithms for oneDNN targeting Intel processors and graphics. Conduct performance analysis and contribute to low-level tuning and optimization efforts, collaborating with cross-functional teams and engaging with the open-source community.

As a Senior Platform Engineer, you'll manage the infrastructure for deploying AI applications in enterprise environments, collaborating with customer IT on security and compliance.

Design and implement full-stack applications for GenAI, build developer tooling, collaborate with product teams, and enhance AI agent delivery.

Design and implement full-stack applications and AI agents to enable rapid development and deployment of AI solutions in critical industries. Mentor engineers and take ownership of projects while applying secure SDLC practices and collaborating with cross-functional teams.

As a Senior Forward Deployed Engineer, you will embed within customer environments to develop and deploy AI solutions, enhance performance through evaluations, and become a domain expert in specific verticals.

The Lead Product Software Engineer will develop AI solutions, collaborate with teams, and lead projects focused on customer-centric product development using Agile methodologies.

As a Senior Software Engineer, you will enhance AI application interfaces for enterprise clients, ensuring high product quality and a seamless user experience through direct customer collaboration and rapid iteration.

The AI Enablement Engineer will build and deploy AI agents, design intelligent workflows, and collaborate with teams to improve processes using AI technologies.

As a Senior Software Engineer for AI products, you will own features across the stack, develop the AI SRE product, create integrations, and collaborate on user experience while ensuring technical quality.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.