Remote Jobs at Anthropic

Candidates should possess at least 4 years of software engineering experience, a strong interest in machine learning research, and a desire to learn about the societal impacts of their work. Experience with high-performance, large-scale distributed systems, and large-scale LLM training is preferred, along with familiarity with Python and implementing LLM finetuning algorithms like RLHF.

Candidates should possess a Bachelor's degree in a related field or equivalent experience, along with a strong background in Machine Learning and experience leading experimental research on Large Language Models (LLMs) or multimodal models and/or agents. Strong Python-based engineering skills are required, as well as the ability to quickly iterate on experiments to evaluate autonomous capabilities and forecast future capabilities. Experience training, working with, and prompting models is also d…

Candidates should possess significant software engineering experience and a Bachelor's degree in a related field or equivalent experience. Strong candidates may have experience with high performance, large-scale ML systems, language modeling with transformers, large-scale ETL, designing ML experiments and researching ML fundamentals, and inspecting and iterating on data.

Candidates should possess a Master's degree in Computer Science, Machine Learning, or a related field, and demonstrate at least 3 years of experience in machine learning research, particularly in reinforcement learning. Strong programming skills in Python are essential, along with familiarity with deep learning frameworks such as PyTorch or TensorFlow. Experience with distributed training and large-scale systems is highly desirable.

Candidates should possess significant software, ML, or research engineering experience, along with some experience contributing to empirical AI research projects. Familiarity with machine learning techniques and research methodologies is expected, and a strong background in computer science or a related field is preferred.

Candidates should possess significant Machine Learning and software engineering experience, along with a high-level familiarity with the architecture and operation of large language models, and extensive prior experience exploring and testing language model behavior.

Candidates should possess at least 5 years of industry-related experience, proficiency in Python and experience with deep learning frameworks such as PyTorch or Jax, and a strong software engineering background. A background in machine learning, reinforcement learning, or high performance computing is preferred, along with experience with virtualization and sandboxed code execution environments and Kubernetes.

Candidates should possess a Bachelor’s degree in a related field or equivalent experience, along with strong experience in Python programming and machine learning research. Experience developing software utilizing Large Language Models such as Claude is preferred, and a bias towards flexibility and impact is desired.

Candidates should possess an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field. Strong software engineering skills with a proven track record of building complex systems are essential, along with expertise in Python and deep learning frameworks like PyTorch. Familiarity with large-scale machine learning, particularly language models, and the ability to balance research with engineering constraints are required. Excellent problem-solving, communication, and col…