Drimva

Anthropic

Applied AI, Research Engineer

$300K–$400K

San Francisco, CA +2 · Full-time · Posted Sep 4, 2026

Location
San Francisco, CA
New York City, NY
San Francisco, California, United States
Experience
6+ years in a listed or similar technical role; the logistics section says required years correlate with internal job-level requirements.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study as demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; the company says it will make every reasonable effort to obtain a visa for candidates it offers.

About the job

Tests and demonstrates Anthropic model and product capabilities with customers, supports launches and field teams, and channels customer insights into product and research roadmaps.

What you'll do

  • Test new models, build demos and evaluations, and prepare field teams for product launches.
  • Solve strategic customers’ technical challenges and develop scalable enablement materials and approaches.
  • Synthesize customer insights, adoption patterns, and capability gaps for Product and Research teams.

What they ask for

  • 6+ years of experience in software engineering, technical product management, forward deployed engineering, AI startup founding, or a similar technical role.
  • Strong proficiency in at least one programming language.
  • Meaningful experience building with large language models.
  • Experience designing evaluations, building prototypes, or developing technical enablement for complex products.

Pay

$300,000 — $400,000 USD (annual salary; base or total pay not specified)

Tools

large language models

AI focus

Probe model capabilities and limitations, build LLM-based demos, evaluations, and prototypes, and help shape product and research roadmaps based on customer needs.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)