Anthropic2 дня назад
Applied AI, Research Engineer
25 000–33 333 ₽в месяц · до вычета
РЫНОК
26 250 ₽медиана по профессии
AI Researcher · 34 вакансий с указанной зарплатой
5 600половина предложений: 16 690–59 425143 300
В рынке · выше 47% предложений
San Francisco
Обязанности
- 01Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain
- 02Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle
- 03Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains
- 04Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one
- 05Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field
- 06Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps
- 07Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge
- 08Travel occasionally to customer sites for workshops, implementation support, and research collaboration
Требования
- 016+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users
- 02A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed
- 03Strong technical aptitude with strong proficiency in at least one programming language
- 04Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems
- 05Experience designing evals, building prototypes, or developing technical enablement for complex products
- 06The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics
- 07Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked
- 08Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level
- 09The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
- 10A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport
- 11Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
- 12Bachelor’s degree or an equivalent combination of education, training, and/or experience
- 13A field relevant to the role as demonstrated through coursework, training, or professional experience
Условия
- 01Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
- 02Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate
- 03Travel occasionally to customer sites for workshops, implementation support, and research collaboration