Large Language Models
49 jobs tagged Large Language Models
Large Language Models jobs — quick facts
- How many Large Language Models jobs are available?
- 49 active Large Language Models roles sourced directly from company career pages, updated daily on Joblaze.
- What is the median salary for Large Language Models jobs?
- The median advertised salary for Large Language Models roles on Joblaze is about $260,000 per year.
- Which companies are hiring for Large Language Models?
- Companies currently hiring Large Language Models include Anthropic, Datadog, Poolside AI, Databricks, Block.
- Are Large Language Models jobs remote?
- 90% of active Large Language Models roles on Joblaze offer remote work.
Design and build platforms for fraud investigation in a collaborative team at Robinhood's Toronto office.
Lead the development of AI and ML infrastructure at Robinhood to empower product and engineering teams.
Join Datadog as a Software Engineer to enhance AI-focused developer workflows and tools for maximizing productivity.
Own the AI-first strategy and product roadmap for legal and compliance technology at Gusto, enhancing workflows with AI and automation.
Lead the CBRN-E & Advanced Weapons team to investigate and disrupt misuse of AI systems for weapons development.
Lead a team in Applied AI at Datadog, focusing on developing cost-efficient AI models and enhancing AI security capabilities.
Join Okta as a GEO Content Specialist to optimize content for AI visibility and retrieval in a hybrid work environment.
Join Anthropic as a Research Engineer to enhance AI capabilities in finance, healthcare, and legal domains through applied research and data sourcing.
Join Perplexity as a Senior ML Engineer to design and optimize recommendation systems for personalized user experiences.
Join Okta as a Staff Product Security Engineer to safeguard products through security reviews and mentoring while driving automation in vulnerability detection.
Lead AI risk assessments for generative AI and LLM use cases in a fully remote role at Block.
Lead AI risk assessments for generative AI and LLM use cases in a fully remote role at Block.
Lead a multidisciplinary research team to advance large-scale machine learning efficiency at Databricks.