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Описание вакансии
Текст:
TL;DR
Applied AI Research Engineer (LLMs and AI products): Testing models, building demos, evals, and prototypes, and translating customer feedback into product and research roadmap insights with an accent on applied AI capabilities, technical enablement, and customer problem-solving. Focus on probing model limitations, designing domain-specific evaluations, solving novel technical challenges, and turning field learnings into scalable approaches for product launches.
Location: Hybrid in San Francisco, CA or New York City, NY; staff are expected to work from an Anthropic office at least 25% of the time. Occasional travel to customer sites is required.
Annual salary: $300,000–$400,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
- Embed with product teams and become a technical expert on new AI products and capabilities.
- Lead early model testing, field-readiness assessments, and capability education throughout the model lifecycle.
- Build demos, evaluations, and prototypes that demonstrate customer-relevant model capabilities and define performance standards.
- Create playbooks, training sessions, and reference architectures with Technical Enablement.
- Work hands-on with strategic customers to solve novel technical challenges and package solutions for broader field adoption.
- Synthesize customer insights, adoption patterns, blockers, and capability gaps to inform Product, Engineering, and Research roadmaps.
Requirements
- 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or in a similar technical role.
- Strong technical aptitude and proficiency in at least one programming language.
- Meaningful experience building with large language models, including shipping LLM-powered products, developing agents or workflows, or integrating models into production systems.
- Experience designing evaluations, building prototypes, or developing technical enablement for complex products.
- Excellent communication and interpersonal skills, including the ability to explain complex topics to diverse stakeholders and executives.
- Bachelor’s degree or equivalent education, training, or experience in a relevant field.
Culture & Benefits
- Collaborative work environment focused on large-scale AI research and safe, trustworthy, steerable systems.
- Flexible working hours and an office environment designed for collaboration.
- Competitive compensation with optional equity donation matching.
- Generous vacation and parental leave.
- Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
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