Top Artificial Intelligence Jobs

Hands-on Technical Program Manager for an AI/ML platform at the AEC intersection. Responsibilities include reviewing AI-generated and engineer-written code, leading single-tenant to multi-tenant migration, formalizing a test suite into release-gating QA, and collaborating directly with the Lead Developer. Requires fluency in modern LLM application patterns and data pipelines.

Own and scale the React Native mobile app used by ranchers to monitor and move cattle. Build and maintain Mapbox-powered maps, geospatial data flows, and reliable sync with backend and connected hardware. Focus on performance, reliability, and user experience; grow and lead a mobile team over time.

Lead day-to-day operations of a 24/7 virtual SOC, managing Tier 1–3 analysts, schedules, escalations, incident response integration, threat intelligence, threat hunting, detection engineering feedback, metrics, reporting, and continuous process improvement. The role includes coaching and performance management, maintaining runbooks and playbooks, coordinating high-severity events, and collaborating with clients, executives, incident responders, and third-party teams.

Design user experiences and interfaces for RADICL’s cybersecurity SaaS platform. Collaborate with product, engineering, and senior design partners to take concepts from research and sketches through prototypes and shipped features. Use AI-assisted tools to rapidly prototype agentic workflows, improve live-product UX, and contribute to the design system. Independently solve ambiguous problems while balancing tactical improvements with strategic design initiatives and communicating design decisions effectively.

Join the founding team to design and build research infrastructure, automate compute clusters and data pipelines, and develop software/APIs enabling access to generative AI systems for protein therapeutics. Internship with Bay Area location (remote for exceptional candidates).

Build and scale partner marketing for ChatGPT Ads by developing ecosystem strategies, go-to-market frameworks, co-marketing programs, enablement, messaging, launches, customer stories, and measurement systems. Collaborate with technology, measurement, agency, product, sales, communications, legal, and brand teams to drive advertiser acquisition, activation, adoption, investment, pipeline, and revenue through strategic partners.

Designs and releases high-density multilayer PCBs for robotic systems, including placement, routing, signal and power integrity, EMI/EMC, thermal, and mechanical integration. Collaborates with engineering, fabrication, and assembly partners on stack-ups, DFM/DFA/DFT, documentation, manufacturing inspections, and failure analysis. Maintains component libraries and develops reusable layout constraints and workflows.

Lead cross-functional technical programs supporting search research and engineering, including model training, retrieval, indexing, and search infrastructure. Translate goals into workstreams, milestones, dependencies, metrics, and resource plans. Partner with research, engineering, product, policy, legal, and data providers to resolve risks, tradeoffs, and blockers. Improve execution processes while tracking search quality, coverage, responsiveness, and trust.

Design, implement, and optimize custom GPU kernels for large-scale LLM training and inference. Integrate low-level kernels into PyTorch, JAX, and internal runtimes; profile workloads, build performance models, identify bottlenecks, and improve system efficiency. Collaborate with ML researchers, distributed-systems engineers, model-serving teams, and NVIDIA/AMD hardware vendors. Contribute to benchmarking, tooling, documentation, and testing frameworks.

Build and deploy vertically integrated robotic systems across hardware and software. Responsibilities include integrating sensors, troubleshooting cross-stack issues, bringing new robots from first power-on through deployment, configuring customer-specific workflows, validating robots at customer sites, and creating runbooks and tooling. The role requires hands-on experience with robotic or electromechanical systems, hardware and software debugging, and deployment or integration at customer locations.

Conduct independent robot-learning research from hypothesis through data, model training, deployment, and evaluation. Establish long-term research direction, experiment with novel architectures and post-training methods, develop data strategies, deploy models on physical robots, define real-world metrics, and build scalable machine-learning infrastructure for research and production.

Design intuitive, polished digital experiences across Weave’s website, mobile apps, business tools, and autonomous robots. Responsibilities include establishing scalable design systems, shaping interaction paradigms, prototyping and iterating concepts, and collaborating with industrial design, robotics, software engineering, and operations teams. The role requires strong UX, interaction design, information architecture, visual design, and usability expertise, with emphasis on consumer software and physical-world robotics experiences.

Build and ship AI-native workflows and prototypes for finance/accounting use cases, process large unstructured datasets, iterate with customer feedback, and design analytics-driven evaluation systems to improve product stability and value.

Own and secure the cloud infrastructure for a multi-tenant SaaS product: design secure cloud architecture, deploy infrastructure security (access, certificates, logging), develop isolation/sandboxing, review IaC changes, audit environments for vulnerabilities, and create secure cloud policies and procedures.

Open application for exceptional talent to join a fast-scaling AI platform for accounting and finance. Seeking world-class experts across accounting, tax, finance, AI/ML, engineering, and related fields who can operate autonomously, thrive in ambiguity, and build products hands-on. Role is based in San Francisco, in-person; the right candidate will often shape their role.

Leads technical accounting policy documentation, advises on investments, acquisitions, and partnerships, reviews monthly financials, and coordinates external audits. Oversees financial statement presentation and disclosure compliance while driving IPO preparedness. Leads finance transformation initiatives by improving accounting technology, automating processes, and applying AI to scale the function. The role requires CPA certification, Big Four and high-growth enterprise software experience, US GAAP expertise, and strong process-building skills.

Own revenue close activities, including revenue policy, contract review, consumption analysis, and ASC 606 journal entries. Lead customer onboarding, purchase-order collection, invoicing, tax coordination, and collections processes. Build scalable dashboards, systems, and procedures while driving finance transformation through AI, automation, and technology improvements. Partner cross-functionally with Sales, Tax, and customers to improve accuracy, timeliness, and operational efficiency.

Provides strategic and administrative support to the co-founder, including calendar, travel, inbox, correspondence, meeting preparation, action-item follow-up, stakeholder communication, and confidential information management. The role also establishes and improves administrative systems while working primarily in person at the San Francisco office and traveling as needed.

Leads technical architecture and solution design for complex cloud, AI, data center, hyperscale, and WAN networking sales opportunities. Translates customer requirements into scalable solutions, leads demos and proof-of-concepts, prepares RFP responses, and engages senior stakeholders. The role develops architecture playbooks, mentors sales engineering teams, influences deal strategy, and partners with customers, hyperscalers, service providers, and technology partners globally. Travel of up to 50%, including international travel, is required.

Supports the design, development, testing, deployment, and documentation of AI and analytics solutions on HPE infrastructure. Builds experience with generative AI, RAG, AI agents, data pipelines, APIs, vector databases, containers, Kubernetes, GPUs, virtualization, and hybrid cloud. Develops Python scripts and notebooks, executes test plans, documents results, creates technical demonstrations and enablement materials, and collaborates with engineers, architects, product managers, and specialists. This is an early-career role for a recent technical graduate, with opportunities to progress toward independent solution project ownership.

Manage and grow SMB accounts via inside sales: qualify and close leads, hit quota, prospect for new opportunities, upsell and sell multi-product solutions, manage pipeline and forecasts, coordinate internal/external resources, and apply consultative selling to build relationships with business and IT stakeholders.