DocuSign

4 weeks ago

Lead 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

Join the Docusign AI team as a Lead Machine Learning Engineer to design and implement distributed, event-driven ML systems for IAM. You’ll own data pipelines, model development infrastructure, and production-grade services, mentor junior engineers, and collaborate with Applied Science and Product teams to translate business requirements into scalable ML solutions.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Drive the architectural vision and implementation of event-driven, distributed systems that support large-scale data procurement, annotation, and storage for the IAM platform
•Set the standard for high-quality, shippable code; perform rigorous code reviews and mentor junior engineers to ensure the team's output is maintainable, scalable, and tested
•Act as the primary technical point of contact for Applied Science and Product teams, translating high-level business requirements into successful, timely deliveries of ML products
•Oversee the development of production-grade data pipelines that facilitate analytics, evaluation, and model development, and at scale
•Lead the creation of vital infrastructure and services to optimize the performance of complex, multi-layered machine learning systems

Key Requirements

•12+ years of related experience with a Bachelor’s degree; or 8 years related experience with a Master’s degree; or equivalent experience
•Proven ability to lead engineering projects from ideation to production with minimal supervision while empowering junior team members
•Proven track record building and consuming production-grade RESTful and gRPC-based web services
•Expertise in CI/CD build pipelines, integration testing, and test-driven development (TDD) for large-scale deployments
•Expertise in cloud deployment technologies, specifically Kubernetes (k8s) and Docker containers, to manage distributed AI services

Experience:12+ yearsAIMachine learningDistributed systems

Education:Bachelor's

Skills:LeadershipCommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:JavaPythonRESTGRPCKubernetesDockerCI/CDBatch processingVector storage

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

Lead 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

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Drive the architectural vision and implementation of event-driven, distributed systems that support large-scale data procurement, annotation, and storage for the IAM platform
•Set the standard for high-quality, shippable code; perform rigorous code reviews and mentor junior engineers to ensure the team's output is maintainable, scalable, and tested
•Act as the primary technical point of contact for Applied Science and Product teams, translating high-level business requirements into successful, timely deliveries of ML products
•Oversee the development of production-grade data pipelines that facilitate analytics, evaluation, and model development, and at scale
•Lead the creation of vital infrastructure and services to optimize the performance of complex, multi-layered machine learning systems

Key Requirements

•12+ years of related experience with a Bachelor’s degree; or 8 years related experience with a Master’s degree; or equivalent experience
•Proven ability to lead engineering projects from ideation to production with minimal supervision while empowering junior team members
•Proven track record building and consuming production-grade RESTful and gRPC-based web services
•Expertise in CI/CD build pipelines, integration testing, and test-driven development (TDD) for large-scale deployments
•Expertise in cloud deployment technologies, specifically Kubernetes (k8s) and Docker containers, to manage distributed AI services

Experience:12+ yearsAIMachine learningDistributed systems

Education:Bachelor's

Skills:LeadershipCommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:JavaPythonRESTGRPCKubernetesDockerCI/CDBatch processingVector storage

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