Назад
2 месяца назад

Applied AI Research Engineer (AI)

300 000 - 400 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied AI Research Engineer (AI): Building demos, evaluations, prototypes, and enablement materials that demonstrate Anthropic model capabilities and help customers adopt new AI products, with an accent on large language models, customer-facing technical problem solving, and product feedback. Focus on testing model strengths and limitations, designing domain-specific evals, solving novel customer challenges, and translating field insights into product and research roadmaps.

Location: San Francisco, CA or New York City, NY. Hybrid policy requires staff to work from one of the offices at least 25% of the time; occasional travel to customer sites is required.

Annual salary: $300,000–$400,000 USD.

Company

Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial.

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 technical enablement throughout product launches.
  • Build demos, evaluations, prototypes, playbooks, training sessions, and reference architectures.
  • Work hands-on with strategic customers to solve novel technical challenges and package solutions for broader teams.
  • Synthesize customer insights, adoption patterns, blockers, and capability gaps for Product, Engineering, and Research roadmaps.
  • Partner with Sales and Applied AI teams on high-value accounts and customer workshops.

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 proficiency in at least one programming language and strong technical problem-solving skills.
  • Meaningful experience building with large language models, including LLM-powered products, agents, workflows, or production integrations.
  • Experience designing evaluations, building prototypes, or creating technical enablement for complex products.
  • Excellent communication skills for explaining complex topics to diverse internal and external stakeholders, including executives.
  • Bachelor’s degree or equivalent education, training, and experience in a relevant field.

Culture & Benefits

  • Collaborative environment focused on safe, trustworthy, and beneficial AI.
  • Competitive compensation and benefits with optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and office-based collaboration.
  • Visa sponsorship is available, with immigration lawyer support, depending on the role and candidate.

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