Anthropic

2,500 Total Employees

Jobs at Anthropic

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Recently posted jobs

2 Days AgoSaved
Remote
Ontario, ON, CAN
Artificial Intelligence • Natural Language Processing • Generative AI
Drive enterprise adoption of Anthropic's AI by owning full sales cycles, designing sales strategies, expanding markets, influencing product roadmaps, and refining sales methodology. Close strategic, complex deals while collaborating cross-functionally to meet revenue targets and ensure safe deployment of frontier AI solutions.
4 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Natural Language Processing • Generative AI
4-month full-time funded research fellowship using external models/APIs to produce public outputs (papers). Fellows receive mentorship, workspace access (Berkeley or London) or remote options within US/UK/Canada, weekly stipend, compute funding, and are expected to implement experiments, collaborate with mentors, and communicate results. Applicants must be fluent in Python and authorized to work in the US, UK, or Canada.
4 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Natural Language Processing • Generative AI
Four-month, full-time research fellowship focused on ML systems and performance. Fellows build and evaluate infrastructure-heavy projects (e.g., CPU simulators, accelerator backends, large-scale distributed training), use external models/APIs, receive mentorship, funding for compute, and aim to produce public research outputs.
4 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Natural Language Processing • Generative AI
Four-month full-time research fellowship supporting empirical AI safety projects using external models and APIs. Fellows receive mentorship, compute funding, and workspace access to produce public outputs (e.g., papers) across safety, robustness, interpretability, RL, and societal-impact topics.
4 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Natural Language Processing • Generative AI
Four-month full-time research fellowship mentoring fellows to run empirical RL and LLM projects using external infrastructure. Fellows receive compute funding and a weekly stipend, produce public outputs (e.g., papers), and work on RL environments, algorithms, model fine-tuning, and training/evaluation of large models with mentor support.