Applied AI Systems Research Engineer

Percepta; New York (NY); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

401(k) matching

Health benefits

Daily lunch

Job summary

Percepta is seeking a Research Engineer to join its applied AI team in New York, collaborating with core research and product teams to scale modeling capabilities. You will work on large-scale training/inference infrastructure and distributed systems, shipping production-ready solutions embedded inside customer environments.

You will contribute to world modeling, forecasting, user modeling, and optimization tracks, driving fast-paced transformation with practical impact while partnering with

Qualifications

• Experience with high-performance, large-scale distributed systems.
• Proven track record of executing in ambiguous, fast-moving environments.
• Excellent communication with technical and non-technical stakeholders.
• Strong ownership and accountability in projects.
• Passion for AI's transformative potential and practical impact.

Responsibilities

• Work backwards from long-term research vision to surface infrastructure and tooling needs.
• Prototype, build, and deploy AI systems that operate in real-world conditions with real data.
• Iterate based on user feedback and collaborate with stakeholders to ensure adoption.
• Embed within customer environments, build trust, and act as embedded technical partner for applied AI.
• Encode learnings into Mosaic, contributing new features back into the platform.
• Translate insights into reusable playbooks with Embedded Product Managers.

Skills

Distributed systems

High-performance infra

Communication

Ownership

AI fundamentals

Tools

Ray

Kubernetes

vLLM/SGLang

LLM post-training recipes

Job description

Percepta is seeking a Research Engineer to join its applied AI team in New York, collaborating with core research and product teams to scale modeling capabilities. You will work on large-scale training/inference infrastructure and distributed systems, shipping production-ready solutions embedded inside customer environments.

You will contribute to world modeling, forecasting, user modeling, and optimization tracks, driving fast-paced transformation with practical impact while partnering with