DocuSign

1 month ago

Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Design and build scalable AI infrastructure for Docusign’s next generation of intelligent systems. Bridge AI research and production engineering by delivering distributed systems for large-scale inference, multi-agent frameworks, and RAG pipelines, with emphasis on observability and deployment of generative AI services.

Location: San Francisco, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•As a Machine Learning Engineer on the AI Platform team, design and build the foundation infrastructure powering the next generation of intelligent systems, ensuring scalable platforms for autonomous agents, retrieval systems, and model optimization.
•Build and maintain high-performance distributed systems to support large-scale model inference and data processing.
•Design frameworks for multi-agent systems focusing on state management, reliability, and long-running autonomous workflows.
•Architect Retrieval-Augmented Generation (RAG) pipelines and advanced context management to improve model accuracy and relevance.
•Develop platform-level tools for automated prompt engineering, evaluation, and optimization to accelerate the AI development lifecycle.

Pay and Benefits

Salary: USD 164,700 - 266,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kRsusRemote WorkPaid Leave

Key Requirements

•5+ years of experience in machine learning engineering, software engineering, or related operational roles
•Experience in software engineering with a focus on distributed systems and scalable backend architecture
•Deep understanding of the ML lifecycle from data ingestion to production monitoring
•Experience building with LLMs, including RAG architectures and sophisticated prompt engineering
•Experience deploying and maintaining ML models in high-traffic, production environments

Experience:5+ yearsMachine learningSoftware engineeringAI

Skills:Problem-solvingCommunication

Languages:English

Tech Stack:PythonPyTorchLLMsRAGVector storageDistributed systems

Company Brief

DocuSign

Provides a cloud-based electronic signature and intelligent agreement management platform that automates document workflows, identity verification, contract lifecycle management, and agreement analytics for enterprises and individuals worldwide.

Industry: LegalTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2003

Glassdoor: 3.6

Website LinkedIn Glassdoor

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DocuSign

1 month ago

Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: San Francisco, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•As a Machine Learning Engineer on the AI Platform team, design and build the foundation infrastructure powering the next generation of intelligent systems, ensuring scalable platforms for autonomous agents, retrieval systems, and model optimization.
•Build and maintain high-performance distributed systems to support large-scale model inference and data processing.
•Design frameworks for multi-agent systems focusing on state management, reliability, and long-running autonomous workflows.
•Architect Retrieval-Augmented Generation (RAG) pipelines and advanced context management to improve model accuracy and relevance.
•Develop platform-level tools for automated prompt engineering, evaluation, and optimization to accelerate the AI development lifecycle.

Pay and Benefits

Salary: USD 164,700 - 266,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kRsusRemote WorkPaid Leave

Key Requirements

•5+ years of experience in machine learning engineering, software engineering, or related operational roles
•Experience in software engineering with a focus on distributed systems and scalable backend architecture
•Deep understanding of the ML lifecycle from data ingestion to production monitoring
•Experience building with LLMs, including RAG architectures and sophisticated prompt engineering
•Experience deploying and maintaining ML models in high-traffic, production environments

Experience:5+ yearsMachine learningSoftware engineeringAI

Skills:Problem-solvingCommunication

Languages:English

Tech Stack:PythonPyTorchLLMsRAGVector storageDistributed systems

Company Brief

DocuSign

Industry: LegalTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2003

Glassdoor: 3.6

Website LinkedIn Glassdoor