DocuSign, Inc.
Machine Learning Engineer - AI Platform
DocuSign, Inc., San Francisco, California, United States, 94199
Company OverviewDocusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents.
What you'll doDocusign is looking for a passionate, talented, and collaborative Machine Learning Engineer to join our AI Infrastructure team. Our team is responsible for building Docusign’s centralized platform to create, manage and deploy advanced AI/ML solutions to make customer journeys throughout the Docusign Agreement Cloud more efficient. As a Machine Learning engineer, you will help support all aspects of the machine learning lifecycle, including the research platform, training and deployment pipelines, labeling and serving infrastructure. You will partner with a team of expert applied researchers who specialize in various domains, including document understanding, natural language processing (NLP), computer vision, and more to prototype and productionize solutions for real business use-cases at scale.This position is an individual contributor role reporting to the Senior Manager, Machine Learning.ResponsibilityCollaborate with Applied Science, Product and other engineers across multiple offices and time zones to create and deliver new machine learning products and features on time.Contribute to the development of AI infrastructure by building highly scalable gRPC-based services to enable offline and online machine learning pipelines, ensuring enterprise-grade security and reliability.Develop systems to optimize and create AI-assisted data labeling processes while maintaining appropriate and thorough data governance and security standards.Contribute to the development of scalable model training infrastructure to minimize the time it takes to deploy the candidate models to production.Optimize model performance (including open source and licensed LLMs) in production leveraging best practices for CPU/GPU inference on NVIDIA Triton with TensorRT / ONNX.Improve platform observability by implementing tools and required infrastructure to monitor and analyze the performance of deployed AI services.
What you bringBasicMinimum of 5 years of related experience with a Bachelor’s degree; or 3 years of related experience with a Master’s degree; or a PhD without experience; or equivalent experience.Experience building/consuming RESTful and gRPC based web-services.Experience with CI/CD build pipelines, integrated tests, and test-driven development.Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers.Experience with designing and scaling fullstack or distributed backend systems.Experience with Java, Python or similar programming languages.PreferredExperience building machine learning products, data pipelines, or machine learning training and deployment systems.Experience with deployment and monitoring of machine learning models.Ability and desire to move across technology stacks fluently and easily. Experience with LLMs.Familiarity with NLP, Computer Vision domains.Familiarity with Open AI APIs and libraries.
Wage TransparencyPay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.Based on applicable legislation, the below details pay ranges in the following locations:California: $151,800 - $245,150 base salary.Washington and New York (including NYC metro area): $145,800 - $214,350 base salary.This role is also eligible for bonus, equity and
benefits .
Life at DocusignWorking hereDocusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day.
Equal Opportunity EmployerIt's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer.
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What you'll doDocusign is looking for a passionate, talented, and collaborative Machine Learning Engineer to join our AI Infrastructure team. Our team is responsible for building Docusign’s centralized platform to create, manage and deploy advanced AI/ML solutions to make customer journeys throughout the Docusign Agreement Cloud more efficient. As a Machine Learning engineer, you will help support all aspects of the machine learning lifecycle, including the research platform, training and deployment pipelines, labeling and serving infrastructure. You will partner with a team of expert applied researchers who specialize in various domains, including document understanding, natural language processing (NLP), computer vision, and more to prototype and productionize solutions for real business use-cases at scale.This position is an individual contributor role reporting to the Senior Manager, Machine Learning.ResponsibilityCollaborate with Applied Science, Product and other engineers across multiple offices and time zones to create and deliver new machine learning products and features on time.Contribute to the development of AI infrastructure by building highly scalable gRPC-based services to enable offline and online machine learning pipelines, ensuring enterprise-grade security and reliability.Develop systems to optimize and create AI-assisted data labeling processes while maintaining appropriate and thorough data governance and security standards.Contribute to the development of scalable model training infrastructure to minimize the time it takes to deploy the candidate models to production.Optimize model performance (including open source and licensed LLMs) in production leveraging best practices for CPU/GPU inference on NVIDIA Triton with TensorRT / ONNX.Improve platform observability by implementing tools and required infrastructure to monitor and analyze the performance of deployed AI services.
What you bringBasicMinimum of 5 years of related experience with a Bachelor’s degree; or 3 years of related experience with a Master’s degree; or a PhD without experience; or equivalent experience.Experience building/consuming RESTful and gRPC based web-services.Experience with CI/CD build pipelines, integrated tests, and test-driven development.Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers.Experience with designing and scaling fullstack or distributed backend systems.Experience with Java, Python or similar programming languages.PreferredExperience building machine learning products, data pipelines, or machine learning training and deployment systems.Experience with deployment and monitoring of machine learning models.Ability and desire to move across technology stacks fluently and easily. Experience with LLMs.Familiarity with NLP, Computer Vision domains.Familiarity with Open AI APIs and libraries.
Wage TransparencyPay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.Based on applicable legislation, the below details pay ranges in the following locations:California: $151,800 - $245,150 base salary.Washington and New York (including NYC metro area): $145,800 - $214,350 base salary.This role is also eligible for bonus, equity and
benefits .
Life at DocusignWorking hereDocusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day.
Equal Opportunity EmployerIt's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer.
#J-18808-Ljbffr