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Member of Technical Staff, Research (EU)
Summary by AIEngineer.careers
Member of Technical Staff, Research (EU) is a AI Research Engineer role (full-time). with Abundant. in DUBLIN, IE. Compensation shown: $250K–$450K. Imported listing (source: feeny.ai). Apply on the employer's site (feeny.ai).
Imported listing (source: feeny.ai) · Apply on feeny.ai
DUBLIN · IE
$250K–$450K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from feeny.ai
Abundant is an applied research lab scaling reinforcement learning for safe and reliable agentic capabilities. As a Member of Technical Staff, Research, you will own a research agenda bridging research and production, designing data and reward signals that advance model reasoning at scale. You will diagnose model failure modes, build long-horizon agentic tasks and verifiers, and partner with frontier AI labs on alignment and safety. The role rewards a founder mentality and extreme ownership across unfamiliar domains.
Responsibilities
- Architect and execute a research agenda to advance model reasoning at scale, from hypothesis through live training runs
- Design long-horizon agentic tasks and verifiers that remain difficult for future model generations
- Diagnose model failure modes by reading trajectories and translating findings into data or reward signals
- Partner with frontier AI research teams on datasets and benchmarks for alignment, safety, and reward design
- Identify, scope, and run long projects that matter most for scaling data toward AGI
- Work with engineering on data pipelines, internal tooling, and deep learning implementations
Requirements
- Strong software engineering skills and deep Python, comfortable owning systems end to end
Abundant
San Francisco · US · 23+ employees
Abundant builds environments and datasets for reinforcement learning (RL) and AI agent training. The company positions itself as providing essential data and simulation infrastructure for AI labs and enterprises.
