Top Entry Level Artificial Intelligence Jobs in San Francisco, CA

Reposted 7 Hours AgoSaved
In-Office
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Robotics • Automation • Manufacturing
Design and develop software for robotic systems, focusing on performance optimization, motion planning, and collaboration with hardware engineers. Conduct simulations to validate system performance.
Top Skills: GitPythonRos
Reposted 7 Hours AgoSaved
In-Office
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Machine Learning • Software
The Deployment Engineer will manage customer deployments of AI agents, bridge engineering and sales, and enhance customer operations through automation.
Top Skills: APIsDatabasesHasuraNext.JsPostgresPythonTypescriptWeb App Architecture
YesterdaySaved
In-Office
2 Locations
90K-150K Annually
Entry level
90K-150K Annually
Entry level
Artificial Intelligence • Database
Execute micro- and nanofabrication process flows in the Berkeley Nanolab cleanroom, operate photolithography, deposition, etch, and metrology tools, support process development and yield improvement, maintain fabrication documentation, troubleshoot tool/process issues, coordinate with lab staff, and follow cleanroom and chemical safety protocols. Early-career hires will grow into process ownership and learn yield and failure analysis.
Top Skills: Berkeley NanolabCleanroomDeveloperDrieEllipsometryEvaporationMask AlignerMicrofabricationNanofabricationOptical MicroscopyPecvdPhotolithographyProfilometryRieSemSpin CoaterSputteringWet Etch
YesterdaySaved
In-Office
San Francisco, CA, USA
150K-180K Annually
Entry level
150K-180K Annually
Entry level
Artificial Intelligence • Software
Build full‑stack product features for post‑sales workflows using AI; prototype, iterate, and ship quickly; own projects end‑to‑end; collaborate with PMs, designers, and senior engineers; work in‑person in San Francisco and contribute to a high‑growth startup environment.
Top Skills: AIAWSGoGraphQLReact
Reposted YesterdaySaved
Hybrid
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Information Technology • Software
Research Engineers will build QA systems for training data, define quality standards, audit datasets, and collaborate with data vendors to enhance data generation processes.
Top Skills: DockerLinuxPython
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Reposted YesterdaySaved
In-Office
San Francisco, CA, USA
125K-200K Annually
Entry level
125K-200K Annually
Entry level
Artificial Intelligence • Software
The Backend Engineer for AI will develop AI-powered features, solving complex problems, collaborating with teams, and delivering impactful products.
Top Skills: Ai FrameworksTypescript
Reposted YesterdaySaved
Hybrid
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • HR Tech • Productivity • Software
The position requires managing enterprise-level accounts, developing relationships with key stakeholders, and driving sales growth.
Reposted YesterdaySaved
In-Office
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Machine Learning • Software • Industrial
Unsolicited/open application for roles at Chasi, a San Francisco startup building equipment-commerce software and applying AI to help dealers and rental companies sell, service, and manage heavy equipment. Candidates expressing interest will be considered for available positions that match their skills and the company's needs.
Reposted YesterdaySaved
In-Office
San Francisco, CA, USA
30-39 Hourly
Entry level
30-39 Hourly
Entry level
Artificial Intelligence • Machine Learning • Robotics • Software
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.
Reposted YesterdaySaved
In-Office
Berkeley, CA, USA
Entry level
Entry level
Artificial Intelligence • Co-Working Space or Incubator • Machine Learning • Social Impact
Join Constellation's Programs team to design and run convenings, incubators, fellowships, and talent-mobilization efforts that connect AI safety researchers, accelerate ideas, and place people into high-impact roles. Work on event production, program design, community building, and participant matching within an on-site Berkeley workspace.
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