About FranklinWH FranklinWH is a leading provider of whole-home energy management and storage solutions, headquartered in San Jose, California. Our system intelligently manages solar, battery, grid, generator, and EV power through the AI-driven smart circuit aGate and high-capacity AC battery aPower
Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI. Fastino's GLiNER
The Intelligence Platform team empowers clients across Apple's operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We're an applied Machine Learning team that leverages state-of-the-art technologies-Generative AI, Large Language Mo
Role Number: 200636539-3401 Summary The Intelligence Platform team empowers clients across Apple's operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We're an applied Machine Learning team that leverages state-of-the-art technolog
Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI. Fastino's GLiNER
Machine Learning Engineer — Large Language Models, Generative AI & Agentic Systems San Francisco Bay Area, California, United States Machine Learning and AI The Intelligence Platform team empowers clients across Apple’s operating systems with high-quality, user-centric knowledge and inferences that
Role Number: 200636539-3401 Summary The Intelligence Platform team empowers clients across Apple’s operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We’re an applied Machine Learning team that leverages state-of-the-art technolog
Role Number: 200636539-3401 Summary The Intelligence Platform team empowers clients across Apple's operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We're an applied Machine Learning team that leverages state-of-the-art technolog
About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now
Outset invented a better way to do research: AI-powered user interviews. Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale. The research industry is massive (>$140B and growing) and ripe for di
About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the role Flow is seeking AI-focused staff software engineers to bu
A leading technology firm in California is seeking a professional in machine learning and large language models. The role involves architecting and scaling large autoregressive language models, designing pre-training objectives, and developing strategies for mid-training. Ideal candidates will have
*About Luma AI** *Luma’s mission is to build AGI. We believe that intelligence emerges from large-scale foundation models that can reason, plan, and communicate with depth and precision. Language models are central to this vision — serving as the backbone for reasoning, world modeling, and interacti
*About Luma AI** *Luma’s mission is to build AGI. We believe that intelligence emerges from large-scale foundation models that can reason, plan, and communicate with depth and precision. Language models are central to this vision — serving as the backbone for reasoning, world modeling, and interacti
About Luma AI Luma’s mission is to build AGI. We believe that intelligence emerges from large‑scale foundation models that can reason, plan, and communicate with depth and precision. Language models are central to this vision — serving as the backbone for reasoning, world modeling, and interaction.
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. Work towards long-term ambitious research goals, while identifying intermediate milestones. Directly contribute to experiments, including designing experimental detail
*About Forterra** At Forterra, we are unleashing autonomy at scale to transform the battlefield. Our mission is to build the foundational platforms that enable an intelligent ecosystem to coordinate, adapt, and execute with speed and precision even in the uncertainty and disruption of modern conflic
About FranklinWH FranklinWH is a leading provider of whole-home energy management and storage solutions, headquartered in San Jose, California. Our system intelligently manages solar, battery, grid, generator, and EV power through the AI-driven smart circuit aGate and high-capacity AC battery aPower
About FranklinWH FranklinWH is a leading provider of whole-home energy management and storage solutions, headquartered in San Jose, California. Our system intelligently manages solar, battery, grid, generator, and EV power through the AI-driven smart circuit aGate and high-capacity AC battery aPower
About FranklinWH FranklinWH is a leading provider of whole-home energy management and storage solutions, headquartered in San Jose, California. Our system intelligently manages solar, battery, grid, generator, and EV power through the AI-driven smart circuit aGate and high-capacity AC battery aPower
2 weeks ago
Estimated salary for Language Models in San Francisco
$56,000 – $89,000/year
Estimation confidence: Low
Estimate based on market data for San Francisco. Actual salaries may vary depending on experience, company, and area.