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Reposted 9 Days AgoSaved
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In-Office
3 Locations
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273K-393K Annually
Senior level
273K-393K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
Lead a team of research scientists and engineers in machine learning and Generative AI, defining research roadmaps, promoting collaboration, and driving execution from prototyping to deployment.
Top Skills: Deep LearningGenerative ModelsMachine LearningReinforcement Learning
Reposted 9 Days AgoSaved
Easy Apply
In-Office
2 Locations
Easy Apply
158K-237K Annually
Senior level
158K-237K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
As an AI Deployment Strategist, you will help enterprise customers build and scale GenAI solutions, manage project delivery, and drive client strategy and growth while collaborating with cross-functional teams.
Top Skills: EngineeringFinanceGenai SolutionsMachine Learning
10 Days AgoSaved
Easy Apply
In-Office
2 Locations
Easy Apply
104K-130K Annually
Junior
104K-130K Annually
Junior
Artificial Intelligence • Big Data • Machine Learning
The Quality Lead will ensure high data quality for Generative AI programs, overseeing operations, team management, and quality improvement initiatives.
Top Skills: ExcelGoogle SheetsSQL
Reposted 11 Days AgoSaved
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In-Office
San Francisco, CA, USA
Easy Apply
218K-273K Annually
Senior level
218K-273K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
Lead research and development for computer vision algorithms in robotics, focusing on 2D/3D data, model optimization, technical leadership, and cross-functional collaboration.
Top Skills: C++JaxPythonPyTorchTensorFlow
Reposted 12 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
302K-378K Annually
Senior level
302K-378K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Director of Governance, Risk and Compliance will lead the GRC function, manage compliance professionals, and develop risk management strategies while collaborating across teams to ensure compliance frameworks are operationalized effectively.
Top Skills: CmmcCpraDfarsFarFedrampGdprIso 27001Nist 800-171Soc 2
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Reposted 12 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
207K-259K Annually
Mid level
207K-259K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
As a Robotics Engineer, you will develop data collection systems, design hardware, and integrate software for robotics. You'll collaborate on robotics initiatives and support data collection operations while becoming an expert in robotics capabilities.
Top Skills: C++CadJavaPython
Reposted 13 Days AgoSaved
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In-Office
San Francisco, CA, USA
Easy Apply
134K-168K Annually
Senior level
134K-168K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Enterprise Account Executive will drive revenue growth in strategic enterprise accounts, manage relationships, and coordinate internal teams for successful sales processes.
Top Skills: AIClariData PlatformsMlOutreachSalesforceSlack
Reposted 13 Days AgoSaved
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In-Office
San Francisco, CA, USA
Easy Apply
235K-294K Annually
Mid level
235K-294K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Director of Strategic Finance will develop financial strategies, manage reporting, collaborate with leaders, and enhance finance processes to support growth in AI.
Top Skills: Adaptive InsightsAnaplanBusiness Intelligence ToolsExcelGoogle SuiteMS OfficeSalesforceSQL
Reposted 13 Days AgoSaved
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In-Office
San Francisco, CA, USA
Easy Apply
152K-190K Annually
Mid level
152K-190K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Solutions Engineer will engage with clients, develop technical solutions in Robotics, and guide customer pilots, ensuring satisfaction and driving commercial growth.
Top Skills: C++JavaPython
14 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
50-50 Hourly
Internship
50-50 Hourly
Internship
Artificial Intelligence • Big Data • Machine Learning
Work on generative AI projects—training models, finding failure modes, and collaborating in focus groups and team challenges. Contribute remotely with flexible hours, attend optional regional meetups, and gain mentorship from AI professionals.
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