Senior Research Infrastructure Engineer

Job not on LinkedIn

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $175k - $260k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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hud (YC W25)

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

hud is an evaluation platform designed for AI agents, facilitating the assessment and iteration of these agents across a variety of environments and tasks. With tools that cater to both researchers and professionals, hud allows users to rapidly evaluate their AI models and integrate existing tools while ensuring swift results through the orchestration of concurrent machine evaluations. Its flexible architecture supports customized tasks and diverse workflows, making it a robust solution for enhancing AI performance and capabilities.

📋 Description

• Build infrastructure for research on agent behavior, including reliable environment execution, trajectory collection, and evaluation at scale • Develop reusable tools, APIs, and pipelines for launching experiments, managing datasets and configurations, and inspecting trajectories and evaluation results • Turn research prototypes and experimental workflows into tested, documented, reusable software • Design experiments to understand model behavior, agent failure modes, and data quality issues • Improve experimentation speed, reproducibility, and cost efficiency through orchestration, observability, and recovery from failed runs • Partner with research and engineering to translate research needs into infrastructure priorities and architecture decisions • Own systems from implementation through ongoing operation • Accelerate research on training and evaluating frontier AI agents

🎯 Requirements

• Strong software engineering fundamentals • Proficiency in Python • Record of building maintainable systems used by others • Experience owning backend services, data pipelines, developer tools, or infrastructure from design through deployment and operation • Sound judgment about APIs, data models, asynchronous workloads, and reliability tradeoffs • Comfort with Docker, Linux, cloud infrastructure, and debugging failures across application code and systems • Ability to work closely with researchers and translate open-ended research needs into useful software • Independent technical judgment for prioritization and pragmatic architecture decisions • Working knowledge of reinforcement learning, including environments, rollouts, reward signals, and evaluation workflows may be beneficial • Experience building research infrastructure, ML pipelines, or research productivity tools may be beneficial • Familiarity with distributed job execution, containerized environments, or high-concurrency workloads may be beneficial • Experience improving experiment reproducibility, data lineage, or pipeline failure visibility may be beneficial • Technical aptitude and learning potential prioritized over years of experience

🏖️ Benefits

• 100% covered top-of-the-line medical, dental, and vision for US and Singapore employees • Lunch and dinner for in-office employees • Company-wide holiday break from Christmas Eve to New Year’s Day, on top of PTO and paid holidays • 401k with a 4% match • Equinox membership for US employees • Commuter benefits for US employees • Health/wellness stipend for Singapore employees • Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc. • Annual travel budget to visit either office • Relocation and visa support for strong full-time candidates to the US or Singapore