Lead Machine Learning Engineer

DocuSign
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: bachelorsSkills: ["Leadership","Communication","Problem-solving","Collaboration"]

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.

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FursaFursa
DocuSign
DocuSign
2 months ago

Lead Machine Learning Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 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
Glassdoor: 3.6
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