Staff AI/ML Engineer - Memory & Agentic Systems

DigitalOcean; Seattle (WA); Hybrid; USD 216,800 - 271,000; Full time

Benefits offered by this job

Flexible time off policy

Career development resources

Employee Assistance Program

Job summary

DigitalOcean is looking for a Staff AI/ML Engineer to join their Applied Research team in Seattle. This role involves owning the technical direction for agent memory in AI systems, designing memory architectures, and building reliable memory systems. A strong background in AI/ML is essential, with 8+ years of production experience preferred.

You will collaborate with cross-functional teams to translate user needs into practical memory architectures, while providing technical leadership in a dynamic environment. This is a hybrid position with a competitive compensation range of $216,800 - $271,000.

Qualifications

• 8+ years of experience building production AI/ML systems.
• Hands-on experience with memory and retrieval systems such as embeddings.
• Strong understanding of agentic AI: memory, planning, and state management.

Responsibilities

• Own the agent memory roadmap for applied research in AI.
• Build production memory systems for agentic AI.
• Provide technical leadership across architecture and modeling decisions.

Skills

Production AI/ML systems

Memory and retrieval systems

Software engineering in Python

Agentic AI understanding

Education

Bachelor's degree in CS, ML, AI, or related field

Tools

Python

Production systems language

Job description

DigitalOcean is looking for a Staff AI/ML Engineer to join their Applied Research team in Seattle. This role involves owning the technical direction for agent memory in AI systems, designing memory architectures, and building reliable memory systems. A strong background in AI/ML is essential, with 8+ years of production experience preferred.

You will collaborate with cross-functional teams to translate user needs into practical memory architectures, while providing technical leadership in a dynamic environment. This is a hybrid position with a competitive compensation range of $216,800 - $271,000.