Bespoke Labs seeks unconventional talent skilled in building custom models and agents from open-source projects. This role focuses on methodical post-training to enhance enterprise performance.
Bespoke Labs is building the modern post-training stack that can be deployed by enterprises to build custom models and agents that work well on their data. Our vision is to help enterprises exceed frontier performance with open-source models by methodical post-training. We train task-specific models and agents ourselves as well.
If you believe you are unconventional talent, such as having created and maintained a wildly popular open-source project, deployed optimizations to GPU kernels that translates to significant dollar savings, won IMO, or even got into Olympics, we want to hear from you.
Bespoke Labs Mountain View, California, USA Office
800 W El Camino Real, Mountain View, California, United States, 94040
Similar Jobs
Artificial Intelligence • Software
PrimeIntellect seeks exceptional builders and researchers in AI and decentralized systems, emphasizing open-source AGI development with high-stakes problem solving.
Top Skills:
AICryptographyDistributed ComputingSystems Programming
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead optimization and experimentation for Pfizer's HCP web properties (primarily PfizerPro). Develop experimentation roadmaps, run A/B and multivariate tests, analyze web and business metrics, partner with UX, analytics, and strategy to translate insights into product and design improvements, and adopt AI-enabled tools to scale personalization and accelerate test velocity while maintaining rigorous measurement.
Top Skills:
A/B TestingAdobe AnalyticsAdobe TargetAi-Enabled Optimization And Personalization ToolsClaude DesignContent Management SystemsFigma MakeMultivariate TestingOptimizelyVwoWeb Analytics
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead identification, evaluation, and acquisition of external drug candidates and technologies to accelerate preclinical and early clinical development. Advise senior leaders, lead cross-functional scientific diligence, assess emerging computational and AI platforms, drive portfolio strategy and competitive intelligence, and foster collaboration across P&TS and Discovery Network to advance research priorities.
Top Skills:
ChatgptComputational TechnologiesGenerative AiMicrosoft Copilot
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


