Top Entry Level Artificial Intelligence Jobs in San Francisco, CA

The Account Executive will manage the sales cycle for high-value clients, qualify business opportunities, negotiate contracts, and collaborate cross-functionally to align customer needs with product offerings.

Build and maintain accounting analytics data models and orchestration pipelines using dbt and Airflow. Develop dashboards, visualizations, and data applications for self-service insights. Translate Finance and Accounting questions into metrics, recommendations, and analytics supporting financial reporting, close processes, reconciliations, and scenario analysis. Champion data quality, testing, and documentation while identifying opportunities for AI-powered accounting automation.

4-month full-time funded research fellowship using external models/APIs to produce public outputs (papers). Fellows receive mentorship, workspace access (Berkeley or London) or remote options within US/UK/Canada, weekly stipend, compute funding, and are expected to implement experiments, collaborate with mentors, and communicate results. Applicants must be fluent in Python and authorized to work in the US, UK, or Canada.

Four-month, full-time research fellowship focused on ML systems and performance. Fellows build and evaluate infrastructure-heavy projects (e.g., CPU simulators, accelerator backends, large-scale distributed training), use external models/APIs, receive mentorship, funding for compute, and aim to produce public research outputs.

Build and maintain canonical datasets, scalable ETL/ELT pipelines, internal data products, self-service analytics tools, and BI infrastructure. Analyze petabytes of web search data, optimize data systems for performance and cost, develop forecasting and experimentation models, and own A/B testing infrastructure. Partner cross-functionally to establish accurate metrics and support data-driven decisions across product, finance, marketing, and go-to-market teams.

Operate and test robots to collect high-quality training data, define task standards, iterate processes, work with customers and engineers, document findings, and improve robot performance through hands-on hardware and software experimentation.

Remotely operate and supervise robotic systems via teleoperation consoles, monitor video feeds and telemetry, execute real-time adjustments, collect and document operational data, identify anomalies, and provide feedback to engineering teams to improve robot performance.

Remotely operate and supervise robotic systems via teleoperation consoles, monitor video feeds and telemetry, execute tasks and adjustments, collect and document operational data, identify anomalies, and provide feedback to engineering teams to improve robot performance.

Design, build, and maintain infrastructure for an adtech platform. Operate production systems at scale, optimize performance, own platform layers, run experiments, and ensure reliability across a broad set of systems.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

The Engagement Management role involves building partnerships, ensuring their success, collaborating with scientists, and shaping the company's future with actionable insights.

The Founding Cloud Infrastructure Engineer will develop and maintain the cloud platform's infrastructure using GoLang and Kubernetes, solve client issues, and manage production systems.

Unsolicited/open application for a startup building an AI-driven scientific intelligence platform for physical sciences. Company seeks exceptional candidates across roles to accelerate R&D in semiconductors, batteries, materials, aerospace, and related fields; invites interested people to apply even without a specific posted role.

Open call to join an early-stage, YC-backed startup building compliant conversational voice and video AI for life sciences. Applicants should submit a brief intro, the type of work they do best, and why they care about life sciences AI. Company emphasizes ownership, autonomy, rapid iteration, AI-first tooling, competitive compensation, and equity.