Anthropic· AI Research & Engineering· New York City, NY; New York City, NY | Seattle, WA; San Francisco, CA
Research Engineer / Research Scientist, Tokens
Classified Tasks (14)
Automate 0%Augment 93%Human-Only 7%
Augment (13)
AI assists, human decides
Build large-scale machine learning systems from the ground up
technical
Maintain and develop codebase and infrastructure across the stack
technical
Improve cluster reliability for large-scale training and inference jobs
operational
Optimize throughput and computational efficiency of ML systems
technical
Design and run scientific experiments to evaluate models and approaches
analytical
Implement code to support machine learning research experiments
technical
Develop and improve developer tooling for research and engineering workflows
technical
Optimize the throughput of new attention mechanisms
technical
Benchmark and compare compute efficiency between Transformer model variants
analytical
Prepare Wikipedia and other datasets into formats models can easily consume
technical
Scale distributed training jobs to thousands of GPUs
operational
Write design documents for fault-tolerance strategies
communication
Create interactive visualizations of attention patterns between tokens in language models
creative
Human-Only (1)
Requires human judgment
Develop safe, steerable, and trustworthy AI systems
technical
Job description
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPUs, Kubernetes, Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Representative projects: Optimizing the throughput of a new attention mechanism Comparing the compute efficiency of two Transformer variants Making a Wikipedia dataset in a format models can easily consume Scaling a distributed training job to thousands of GPUs Writing a design doc for fault tolerance strategies Creating an interactive visualization of attention between tokens in a language model The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, t