Senior Software Engineer — Remote AI/ML Systems & Eval

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San Francisco (CA)

Remote

USD 208,000 - 315,000

Full time

2 days ago
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Job summary

Snorkel AI is seeking a Senior Software Engineer to help build and operate large-scale AI/ML systems and evaluation frameworks for frontier AI research labs. You will own architecture, development, and operations of distributed compute and data management systems while launching agents into production for long-running reasoning tasks.

The role involves integrating the latest foundation model technologies into evaluation workflows, prototyping scalable backend services for model development, and

Qualifications

  • Bachelor’s degree in Computer Science or related field.
  • 4+ years developing software using Java & TypeScript with relational databases.
  • 3+ years designing and delivering AI/ML systems in production for cloud-native apps.

Responsibilities

  • Build systems to power large-scale AI workloads for top-tier labs.
  • Own architecture, design, development, and operations of distributed compute and data management systems.
  • Launch agents into production for long-running reasoning and verification tasks.
  • Integrate foundation model and agentic tech into evaluation workflows.
  • Prototype, optimize, and maintain scalable backend services for AI model development.
  • Design interfaces between internal services and storage systems.
  • Lead large, multi-person projects from design through deployment.
  • Collaborate with engineers, PMs, and field teams on AI dataset development.

Skills

Java
TypeScript
Relational Databases
Distributed Systems
Data Processing
LLM Systems
RAG
Model Context Protocol
Agent Orchestration
Prompt Engineering
Evaluation Frameworks
Cloud-Native Applications
Data Storage Systems
System Design

Education

Bachelor’s degree in Computer Science

Job description

Snorkel AI is seeking a Senior Software Engineer to help build and operate large-scale AI/ML systems and evaluation frameworks for frontier AI research labs. You will own architecture, development, and operations of distributed compute and data management systems while launching agents into production for long-running reasoning tasks.

The role involves integrating the latest foundation model technologies into evaluation workflows, prototyping scalable backend services for model development, and

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