Top Artificial Intelligence Jobs

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

The AI Ops Manager will oversee the operational infrastructure for AI tools, ensuring effective usage across teams and managing risk, while building frameworks and processes to enable successful adoption of AI initiatives.

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.

The Product Marketing Advisor for AI Solutions will manage marketing strategies, create content, and ensure market impact for AI products. Responsibilities include defining value propositions and building marketing assets.

Design, build, and own LLM-powered product features that help users manage finances. Implement prompt engineering, RAG and retrieval systems, evaluation datasets/scorers, multi-agent orchestration, and production ML/AI services. Collaborate with AI Platform on routing, observability, and production quality.

As an Account Manager for AI Products, you'll manage client relationships, ensure successful project execution, and collaborate with internal teams to drive client satisfaction and value realization.

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.

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

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.

Lead AI and digital transformation strategies for clients, focusing on business development, client management, and cross-functional team leadership in a consulting capacity.

The AI Solutions Consultant will engage with prospects, educate them about AI solutions, manage sales cycles, and ensure successful customer relationships post-sale.

The Head of Enterprise AI Sales will drive sales efforts for RYZ Labs' AI solutions in medium to large enterprises, navigating complex deals and establishing a scalable sales organization.

Build production-grade AI-powered data tooling: extract data from Snowflake, generate and store embeddings, enable semantic search, design enrichment pipelines using LLM APIs, optimize AWS infrastructure, and create reusable services and SDKs for scalable, observable data and AI workflows.

As an Applied AI/ML Engineer, you'll develop and deploy machine learning models, build data pipelines, and collaborate with scientists to improve materials processing and characterization.

Lead cross-functional eCommerce initiatives end-to-end while designing and standardizing operational systems, SOPs, and governance. Drive measurable process improvements, KPI tracking, documentation, and AI-enabled execution to increase predictability, reduce cycle time and rework, and clarify ownership.

As a Research Engineer, you will optimize AI performance, focusing on kernel development for large-scale ML workloads, profiling bottlenecks, and collaborating with teams to enhance model training and inference.

Lead marketing data and AI strategy: architect the single source of truth, design scalable data models, create measurement and attribution frameworks, prioritize and productionize predictive AI use cases, and embed responsible AI governance across 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 a Backend Engineer, you will build AI systems for document processing and data extraction, creating reliable backend infrastructure and optimizing AI workflows.

Design and scale AI-driven backend systems for document processing and entity resolution. Lead architecture, improve engineering standards, and collaborate with cross-functional teams in a fast-paced environment.

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

As a Staff ML Engineer, you'll lead complex model quality improvements in clinical AI, spanning research and engineering, optimizing performance under high compliance conditions.

Lead end-to-end silicon diagnostic pipeline using AI/ML to analyze scan failures and process data, build models for failure classification and predictive yield, orchestrate AI-based EDA tools, and drive cross-functional root-cause analysis to improve yield and time-to-market.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.