Digital Ocean

4 weeks ago

Staff Software Engineer, Applied Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Senior IC role leading memory-focused AI/ML work on agentic systems. Own memory roadmap, build production memory architectures (episodic/semantic/context), and drive evaluation and optimization across long-running workflows. Collaborate across product, engineering, science, and design to move ideas from prototype to shipped capabilities, balancing research quality with product impact and reliability.

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Own the agent memory roadmap and translate user needs, product signals, and research findings into practical memory architectures.
•Design and build memory architectures for agentic AI, including episodic memory, semantic memory, user context, and long-term recall.
•Build reliable systems that support memory decay, fact grounding, belief updates, context compaction, and retrieval across sessions.
•Set technical direction across architecture, modeling decisions, experimentation strategy, and production readiness — without requiring direct management authority.
•Partner closely with product, engineering, design, science, and research teams to move work from ambiguous research ideas to shipped capabilities

Pay and Benefits

Salary: USD 216,800 - 271,000 annually

Equity and Bonus:Equity

Perks:EquityLearning BudgetAnnual Bonus

Key Requirements

•8+ years of experience building production AI/ML systems, LLM-powered products, agentic workflows, retrieval systems, personalization systems, or applied research systems at scale.
•Hands-on experience with memory and retrieval systems such as embeddings, semantic search, knowledge graphs, RAG, personalization, or long-term user context.
•Strong understanding of agentic AI: memory, planning, tool use, state management, instruction following, self-correction, and action execution.
•Strong software engineering in Python and at least one production systems language.
•The judgment to balance research quality, product impact, latency, reliability, cost, and maintainability — and communicate those tradeoffs clearly

Experience:8+ yearsAIMLMemory systemsAgentic AI

Skills:CommunicationLeadershipCollaborationProblem-solvingStrategic thinking

Languages:English

Tech Stack:PythonEmbeddingsSemantic searchKnowledge graphsRAGLong-term contextMemory architectures

Company Brief

Digital Ocean

Provides cloud infrastructure and developer-focused cloud services including scalable droplets, managed databases, Kubernetes, object storage, and networking to simplify deploying and managing applications for developers and small-to-medium businesses.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn

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Digital Ocean

4 weeks ago

Staff Software Engineer, Applied Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Own the agent memory roadmap and translate user needs, product signals, and research findings into practical memory architectures.
•Design and build memory architectures for agentic AI, including episodic memory, semantic memory, user context, and long-term recall.
•Build reliable systems that support memory decay, fact grounding, belief updates, context compaction, and retrieval across sessions.
•Set technical direction across architecture, modeling decisions, experimentation strategy, and production readiness — without requiring direct management authority.
•Partner closely with product, engineering, design, science, and research teams to move work from ambiguous research ideas to shipped capabilities

Pay and Benefits

Salary: USD 216,800 - 271,000 annually

Equity and Bonus:Equity

Perks:EquityLearning BudgetAnnual Bonus

Key Requirements

•8+ years of experience building production AI/ML systems, LLM-powered products, agentic workflows, retrieval systems, personalization systems, or applied research systems at scale.
•Hands-on experience with memory and retrieval systems such as embeddings, semantic search, knowledge graphs, RAG, personalization, or long-term user context.
•Strong understanding of agentic AI: memory, planning, tool use, state management, instruction following, self-correction, and action execution.
•Strong software engineering in Python and at least one production systems language.
•The judgment to balance research quality, product impact, latency, reliability, cost, and maintainability — and communicate those tradeoffs clearly

Experience:8+ yearsAIMLMemory systemsAgentic AI

Skills:CommunicationLeadershipCollaborationProblem-solvingStrategic thinking

Languages:English

Tech Stack:PythonEmbeddingsSemantic searchKnowledge graphsRAGLong-term contextMemory architectures

Company Brief

Digital Ocean

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn