3 дня назад
Software Engineer, Tokens and Prompt Structures (AI)
320 000 - 405 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Tokens and Prompt Structures (AI): Maintaining and evolving encoding libraries and prompt structures that transform text and multimodal data for Claude, with an accent on API design, abstraction quality, research integration, and performance. Focus on running structured-data encoding experiments, supporting new multimodal data types, redesigning core abstractions, and optimizing systems across pretraining, finetuning, and the API.
Location: San Francisco, CA or New York City, NY; hybrid policy requiring staff to work from an office at least 25% of the time
Annual salary: $320,000–$405,000 USD
Company
Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
- Maintain and improve encoding libraries used by engineers and researchers.
- Run experiments to determine effective ways to feed structured data into Claude.
- Design data structures and abstractions that simplify encoded-data workflows while supporting advanced users.
- Adapt encoding libraries for new research directions and move research ideas into production.
- Optimize encoding performance across dependent systems.
- Collaborate with researchers and engineers across pretraining, finetuning, and the API.
Requirements
- 5+ years of software engineering experience, including meaningful experience maintaining libraries, SDKs, or developer-facing APIs.
- Familiarity with machine learning terminology and LLM architecture.
- Experience performing complex refactors in large codebases.
- Strong communication skills and effective collaboration with researchers and engineers.
- Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
- Ability to work under the location-based hybrid policy in San Francisco or New York City.
Nice to have
- Experience with tokenizers or other text and data encoding systems.
- Long-term maintenance of a widely used library.
- Performance optimization experience.
- Python or Rust experience.
- Experience with reinforcement learning or model training infrastructure.
Culture & Benefits
- Collaborative work across research, engineering, policy, and business disciplines.
- Focus on large-scale AI research and steerable, trustworthy AI.
- Flexible working hours and an office environment for collaboration.
- Generous vacation and parental leave.
- Competitive compensation and optional equity donation matching.
- Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.
Hiring process
- Applicants may use AI during the application process according to Anthropic’s candidate AI usage policy.
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