Top AI Engineer Jobs

Lead design, architecture, and deployment of end-to-end ML solutions for onboard autonomous driving. Apply foundation-model alignment, unsupervised pre-training, imitation and reinforcement learning, and scale large-model training pipelines. Collaborate cross-functionally, mentor engineers, conduct research, and productionize foundation models for safe, reliable real-world driving.

Design, implement, and deploy scalable ML training and evaluation platforms. Own end-to-end projects, make architectural decisions, drive prioritization, collaborate cross-functionally, and mentor engineers to accelerate autonomous driving model development.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.

Senior individual contributor designing and deploying onboard ML solutions for autonomous driving. Develop models (detection, tracking, trajectory, safe AI), build training pipelines and deployment tooling, translate research into production, collaborate cross-functionally, and mentor engineers.

Design, implement, and deploy ML models for autonomous driving (detection, tracking, trajectory generation). Apply advanced techniques (imitation learning, RL, foundation models), collaborate cross-functionally, and support production ML systems and model deployment.

As a Sr. AI Solutions Engineer, you will develop AI solutions, prototype applications, teach teams, and drive AI adoption across the company.

The AI Application Engineer will design and deploy AI solutions, integrate them into cloud services, and collaborate with teams to enhance operational workflows.

The Senior AI/ML Engineer will develop AI tools, collaborate with cross-functional teams, ensure ethical AI practices, and enhance system performance.

The AI Engineer will build AI and computer vision systems for food waste management, focusing on model training, evaluation, and product feature integration.

As a Senior Staff Applied AI Engineer at Databricks, you will design and build retrieval systems, optimize search for both LLMs and humans, and lead technical direction and team growth.

The Senior Applied AI Engineer will design and implement ML systems for document processing, fine-tune models, and collaborate across teams to enhance AI features.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

Build and maintain AI tools for internally at Automattic, focusing on enhancing productivity through LibreChat while collaborating with the team.

The Applied AI Engineer will develop and ship AI features across Automattic's products, collaborating with teams and scaling innovations that impact millions of users.

Develop AI-enabled tax solutions by enhancing the TRAM system, improving data pipelines, and collaborating with tax experts for model refinement.

As a Senior AI Engineer, you'll design and develop scalable SaaS applications using Java, focusing on AI and data infrastructure, collaborating with teams.

The AI Engineer will develop innovative products using AI to enhance insurance operations by leveraging LLMs and structured data extraction.

Design and maintain AI solutions to streamline workflows, develop automation pipelines, and build AI tools for operational support while optimizing existing solutions.

The AI Engineer will develop AI and machine learning models, analyze data, build NLP applications, and collaborate across teams on scalable solutions.

Design and build multi-agent AI systems (memory, tools, feedback), orchestrate LLMs and RAG, implement REST APIs and full-stack (Node.js/Next.js), optimize databases and cloud infra, integrate embeddings and video classification, lead design-to-deployment, enforce code quality and testing, and collaborate with product and design.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

As an Applied Gen AI Engineer, you'll design and deploy generative AI systems for code review, collaborating to enhance developer productivity through advanced workflows and models.

The Senior AI Engineer will design and improve AI pipelines, build evaluation frameworks, optimize performance, and collaborate with teams to integrate AI capabilities into Brellium's platform.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.