Top AI Specialist Jobs in San Francisco Bay Area, CA

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

Lead and establish CoreWeave's Autonomous Vehicles field engineering vertical: design, build, validate, and deploy ML solutions and customer-facing applications using CoreWeave products. Drive complex customer engagements, translate field signals into product requirements, and set technical standards for perception, motion planning, simulation, and safety-focused AV development.

Lead CoreWeaves robotics field engineering vertical: design, build, and deploy ML solutions on physical robots using CoreWeave's AI platform; own customer engagements from scoping to production, validate sim-to-real performance, create customer-facing applications, and translate field signals into product requirements.

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

Lead go-to-market and technical strategy for AI developer tooling, winning early customers and building repeatable playbooks. Translate customer MLOps requirements into product feedback, partner with engineering and Weights & Biases, and enable sales/solutions teams to close deals around experiment tracking, model governance, and LLM observability.

As a Training Specialist, you'll design and deliver training materials for expert contributors in AI data labeling, ensuring high-quality output through effective onboarding and skill development.

Build AI-powered automations and agents that convert data outputs into timely, actionable workflows and dashboards. Audit manual data work, design automated reporting and alerts, maintain automation reliability, and partner with data and growth teams to accelerate GTM operations.

Lead evaluation, piloting, and rollout of AI-enabled tools and automated workflows for legal teams. Collaborate with attorneys, practice leaders, and tech partners to design solutions, drive adoption, deliver training, and measure impact to improve legal service delivery and internal operations.

The Specialist will build and manage an AI platform, engage stakeholders, translate AI developments into practical frameworks, and drive impactful innovation initiatives.

As an AI Operations Specialist, you will evaluate AI model outputs, annotate data, and ensure the quality and effectiveness of Fetch's AI systems, using tools like ChatGPT and Google Sheets.

As a Technical Specialist at Anthropic, you'll engage with customers to foster adoption of their AI products, drive workshops, support pilots, and create technical content that enhances the customer experience with Claude Code and Cowork.

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Research, deploy, and maintain AI models and automation solutions; integrate systems and APIs; manage AWS infrastructure and PostgreSQL databases; build BI dashboards; monitor and optimize AI systems and provide technical support.

Contribute to generative AI model training and evaluation by designing and solving ML infrastructure and systems challenges. Build and optimize distributed training, custom GPU kernels, evaluation frameworks, and provide technical reviews and feedback to improve training data and model capabilities.

Design, deploy, and operate large-scale LLM and multimodal inference architectures. Work hands-on with customer engineering teams to containerize, scale, monitor, and troubleshoot GPU-based inference workloads across Kubernetes, CI/CD, and hybrid/on-prem environments. Create Helm charts, Terraform modules, and observability tooling while delivering workshops and platform reliability insights.

Evaluate and improve AI-generated Tagalog text for linguistic accuracy, grammar, and cultural relevance. Provide rewritten responses, craft prompts/responses, perform grammaticality checks and preference ranking, and collaborate with global teams to enhance conversational AI datasets.

Lead sales and deployment of custom AI/ML solutions, driving pipeline and revenue for allocated accounts. Collaborate with Field Sales, Product, Sales Engineering and AI teams to discover requirements, architect agentic AI solutions, write SOWs, negotiate commercial terms, and manage complex sales cycles to ensure customer adoption and measurable business outcomes.

Lead delivery of high-fidelity 3D reconstruction PoCs, engage enterprise customers, evaluate multi-sensor capture workflows, drive technical improvements (Gaussian splatting, meshing, hybrid neural representations), define quality metrics and benchmarks, and influence product and research priorities to scale real-time photorealistic reconstructions.

Develop multimodal intent-recognition models from gaze, gesture, and voice; implement socially aware navigation respecting personal space; design robot visual and auditory UI feedback; run user studies and rapidly prototype AI-driven voice and visual interfaces.

Design and implement high-fidelity spatial mapping and real-time object recognition pipelines. Integrate vision systems with robotic manipulation and navigation controls. Train and fine-tune Vision-Language-Action models and work with multimodal spatial AI frameworks and robotic hardware.

Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.

Optimize, compress, and distill large language and vision models for on-device inference. Build pipelines for distillation and hardware-specific compilation, and benchmark performance across NPU/GPU architectures.

The role involves designing and delivering AI training programs, creating learning materials, and facilitating workshops to enhance user understanding of AI tools within enterprises.