Remote Jobs at Anthropic

- Significant software engineering or machine learning experience, particularly at supercomputing scale - Results-oriented, with a bias towards flexibility and impact - Ability to pick up slack and contribute beyond defined job responsibilities - Enjoy pair programming - Interest in learning more about machine learning research - Concern for the societal impacts of AI development

- MS/PhD in Computer Science, ML, or related field, or equivalent experience - Strong programming skills, especially in Python - Experience with ML model training and experimentation - A track record of implementing ML research - Strong analytical skills for interpreting experimental results - Experience with ML metrics and evaluation frameworks - Excel at turning research ideas into working code

- MS/PhD in Computer Science, ML, or related field - Strong programming skills in Python - Industry experience with language model finetuning and classifier training - Proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy - Care about AI safety and the accuracy and honesty of both current and future AI systems - Experience in data science or the creation and curation of datasets for finetuning LLMs - An understanding of various metrics…

- Significant software, ML, or research engineering experience - Based at least 25% in London with occasional travel to San Francisco

- Strong software engineering skills with experience building complex ML systems - Comfortable working with large-scale distributed systems and high-performance computing - Experience with training, fine-tuning, or evaluating large language models - Adept at analyzing and debugging model training processes - Enjoy collaborating across research and engineering disciplines - Can navigate ambiguity and make progress in fast-moving research environments - Keen interest in AI safety and responsible d…

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.

- Significant software engineering experience - Results-oriented, with a bias towards flexibility and impact - Ability to pick up slack, even if it goes outside your job description - Enjoys pair programming (we love to pair!) - Desire to learn more about machine learning research - Concern for the societal impacts of your work - Minimum Bachelor’s degree in a related field or equivalent experience

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.

- Familiarity with language model training, evaluation, and inference - Familiarity with performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines (highly encouraged) - At least a Bachelor's degree in a related field or equivalent experience - Ability to work in one of the offices at least 25% of the time (location-based hybrid policy) - Strong communication skills (highly valued for collaboration)

Candidates should possess 3+ years of highly relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems, strong knowledge of performance optimization techniques and system architectures for high-throughput ML workloads, experience with containerization technologies (Docker, Kubernetes) and orchestration at scale, and proven track record of building large-scale data pipelines and distributed storage systems. Familiarity with language model tra…

- At least a Bachelor's degree in a related field or equivalent experience - Significant experience optimizing ML systems for TPUs, GPUs, or other accelerators - Track record of solving large-scale systems problems and low-level optimization - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside job description - Enjoy pair programming - Interest in learning more about machine learning research - Care about the societal impacts of w…

- 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 - Expertise in Python and experience with deep learning frameworks (PyTorch preferred) - Familiarity with large-scale machine learning, particularly in the context of language models - Ability to balance research goals with practical engineering constraints - Strong problem-solving skills and a results-oriented mindset…

- 1+ years of management experience in a technical environment, particularly performance or distributed systems - Background in machine learning, AI, or a similar related technical field - Deeply interested in the potential transformative effects of advanced AI systems and committed to ensuring their safe development - Excel at building strong relationships with stakeholders at all levels - Quick learner, capable of understanding and contributing to discussions on complex technical topics - Expe…

- 1+ years of management experience in a technical environment, particularly performance or distributed systems - Background in machine learning, AI, or a similar related technical field - Deeply interested in the potential transformative effects of advanced AI systems and committed to ensuring their safe development - Excel at building strong relationships with stakeholders at all levels - Quick learner, capable of understanding and contributing to discussions on complex technical topics - Expe…