DocuSign

4 weeks 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 the AI Features powering the next generation of intelligent systems. Bridge AI research and production-grade engineering to create scalable distributed systems for autonomous agents, advanced retrieval and RAG pipelines, and automated model optimization. Collaborate with Applied Science and Product Management to bring AI capabilities into production-grade features.

Location: Bengaluru

Workplace: Hybrid

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and maintain high-performance distributed systems to support agreement processing, understanding or creation
•Design frameworks for multi-agent systems, focusing on state management, reliability, and long-running autonomous workflows
•Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies to improve model accuracy and relevance
•Design, implement, and own comprehensive evaluation frameworks, including the construction of domain-specific evaluation sets, golden datasets, and running structured offline/online experiments to maintain a strict quality bar
•Own and execute end-to-end model fine-tuning processes to enhance feature alignment for tailored agreement use cases

Key Requirements

•5+ years of experience in machine learning engineering, software engineering, or related operational roles
•Proficiency in Python design patterns, asynchronous programming, and performance optimization
•Proven experience deploying and managing containerized ML services using Kubernetes (k8s)
•Experience building high-performance, scalable distributed systems for large-scale agreement processing and real-time user experiences
•Direct experience building with Large Language Models (LLMs), including complex prompt engineering

Experience:5+ yearsMachine learningDistributed systemsLLMsPrompt engineeringKubernetes

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonDesign patternsAsynchronous programmingKubernetesLLMsPrompt engineeringCI/CDAzure

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

4 weeks 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: Bengaluru

Workplace: Hybrid

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and maintain high-performance distributed systems to support agreement processing, understanding or creation
•Design frameworks for multi-agent systems, focusing on state management, reliability, and long-running autonomous workflows
•Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies to improve model accuracy and relevance
•Design, implement, and own comprehensive evaluation frameworks, including the construction of domain-specific evaluation sets, golden datasets, and running structured offline/online experiments to maintain a strict quality bar
•Own and execute end-to-end model fine-tuning processes to enhance feature alignment for tailored agreement use cases

Key Requirements

•5+ years of experience in machine learning engineering, software engineering, or related operational roles
•Proficiency in Python design patterns, asynchronous programming, and performance optimization
•Proven experience deploying and managing containerized ML services using Kubernetes (k8s)
•Experience building high-performance, scalable distributed systems for large-scale agreement processing and real-time user experiences
•Direct experience building with Large Language Models (LLMs), including complex prompt engineering

Experience:5+ yearsMachine learningDistributed systemsLLMsPrompt engineeringKubernetes

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonDesign patternsAsynchronous programmingKubernetesLLMsPrompt engineeringCI/CDAzure

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