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Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves building and optimizing large language models for the ServiceNow platform, requiring AI/ML expertise and collaboration with various stakeholders.
Top Skills:
AIAi Productivity ToolsLarge Language ModelsMachine LearningPythonTransformer Architectures
Artificial Intelligence • Machine Learning • Robotics
Looking for researchers in machine learning and robotics with strong implementation and system-building skills. Open to diverse backgrounds.
Top Skills:
Machine LearningRobotics
We are seeking individuals with a proven research track record in areas such as large language models (LLMs), diffusion models, data systems, and distributed computing.
Qualifications
- Developing and training generative AI models across modalities, including video, image, text, audio, and 3D.
- Unlocking the potential of foundational models for applications like editing and controlled generation.
- On-policy and off-policy reinforcement learning for model optimization and tuning.
- Innovating efficient training and inference techniques on large-scale distributed systems.
- Curating and processing datasets for pretraining and fine-tuning.
Key Skills:
- Proficiency in deep learning frameworks, such as PyTorch and/or JAX.
- This is an onsite position, but remote arrangements may be considered for exceptional candidates.
Compensation
The salary range for this role in California is $200,000–$300,000 per year. Actual base pay may vary based on factors such as job-related expertise, skills, experience, and candidate location. Additionally, we provide competitive equity packages through stock options and a comprehensive benefits plan.
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
