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Reposted YesterdaySaved
In-Office or Remote
2 Locations
200K-325K Annually
Expert/Leader
200K-325K Annually
Expert/Leader
Artificial Intelligence • Machine Learning
The Research Scientist will develop and implement reinforcement learning techniques, build data pipelines, and collaborate with teams to create training datasets for large language models, contributing to Snorkel's data offerings and publications.
Top Skills: AWSGCPHuggingfaceKubernetesPythonPyTorchSlurm
Reposted YesterdaySaved
In-Office
2 Locations
220K-260K Annually
Senior level
220K-260K Annually
Senior level
Artificial Intelligence • Machine Learning
The Senior Software Engineer will lead the Developer Experience team, focusing on improving build, test, and CI/CD systems, mentoring engineers, and integrating AI tools to enhance development workflows.
Top Skills: BuildkiteCircleCIDockerGithub ActionsHelmKubernetesPipPoetryTerraformUv
Reposted 2 Days AgoSaved
In-Office
2 Locations
130K-200K Annually
Senior level
130K-200K Annually
Senior level
Artificial Intelligence • Machine Learning
Own the go-to-market and program management for Snorkel's Open Benchmarks Grants and research collaborations: design and run grant cycles, source and coordinate partnerships, craft launch campaigns and technical content, and connect research output to broader GTM goals and demand generation.
Reposted 4 Days AgoSaved
In-Office or Remote
3 Locations
160K-220K Annually
Senior level
160K-220K Annually
Senior level
Artificial Intelligence • Machine Learning
Lead and scale coding supply for DaaS: forecast talent needs, build supply ahead of demand, own supply performance and dashboards, optimize allocation and incentives, scale channels and mitigate supply risks, and partner cross-functionally to align supply with business priorities.
Top Skills: SQL
Reposted 4 Days AgoSaved
In-Office or Remote
3 Locations
190K-300K Annually
Senior level
190K-300K Annually
Senior level
Artificial Intelligence • Machine Learning
Partner with Sales to lead technical discovery and scoping, design GenAI solution architectures, build bespoke demos and prototypes (RAG, fine-tuning, agents), author proposals and SOWs, capture reusable patterns into reference assets, and support handoffs to delivery teams. Requires up to 25% annual travel.
Top Skills: Agent Authoring ToolsLlm EcosystemsLlm Orchestration ToolsPandasPythonRagScikit-LearnSparkVector Databases
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Reposted 4 Days AgoSaved
In-Office
2 Locations
240K-290K Annually
Expert/Leader
240K-290K Annually
Expert/Leader
Artificial Intelligence • Machine Learning
As a Staff Backend Engineer, you will design and develop systems for the Expert Contributor lifecycle, manage complex architectural initiatives, and mentor engineers while ensuring high-quality data management and user experience.
Top Skills: AWSRest
Reposted 4 Days AgoSaved
In-Office
3 Locations
130K-180K Annually
Mid level
130K-180K Annually
Mid level
Artificial Intelligence • Machine Learning
The Operations Manager will support expert contributor acquisition, manage partnerships, improve operational processes, and track supply growth metrics in a cross-functional role.
Reposted 5 Days AgoSaved
In-Office
2 Locations
190K-240K Annually
Senior level
190K-240K Annually
Senior level
Artificial Intelligence • Machine Learning
Design and develop core platform features for synthetic data generation, LLM operations, and agentic workflows. Oversee API design and scalable compute services, enhancing AI model performance for enterprise clients.
Top Skills: AWSAzureGCPPython
Reposted 5 Days AgoSaved
In-Office
2 Locations
160K-240K Annually
Senior level
160K-240K Annually
Senior level
Artificial Intelligence • Machine Learning
The Deal Desk Manager will oversee the entire deal lifecycle, partnering with Sales, Finance, and Legal to streamline processes, maintain Salesforce accuracy, and implement scalable deal operations.
Top Skills: Clm (Ironclad)CpqCrm (Salesforce)
6 Days AgoSaved
In-Office
Redwood City, CA, USA
Senior level
Senior level
Artificial Intelligence • Machine Learning
Lead global supply strategy for a Data-as-a-Service marketplace: build and scale a distributed expert-contributor network, manage BPO and partnership ecosystems, drive predictive capacity planning, expand internationally, optimize multi-channel supply growth, partner cross-functionally on EC experience and GTM, and hire and grow the supply team.
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