Staff Engineer (Machine Learning)

Staff Engineer (Machine Learning)

This job has closed but is shown for context on data science work at VMware.

Business Summary

The VMware Engineering Services team ensures our internal and external customers enjoy a high-quality experience across the entire product portfolio. Our goal is to provide compelling, innovative, scalable, and seamless engineering services, which will protect VMware’s brand reputation by continually improving customer satisfaction. We bring together key R&D functions such as build, performance, security, developer tools, and more. We work hand-in-hand with development teams to focus on product innovation and industry-leading solutions. Our priorities include investing in R&D talent, sharing best practices, and driving scale and agility in VMware products.


VMware's Performance and Analytics team is hiring a Machine Learning Engineer to work on VMware’s pioneering, machine assisted self-driven software defined data center project. We are a diverse organization of creative thinkers who use conventional as well as AI approaches to solving cross product performance problems, from platform, storage, networking, management products to SaaS and hybrid cloud. We drive efficiency, improve the bottom line and have fun while doing it. Our products and services drive a measurable impact on the business, we do the things that matter.

Job Role & Responsibility

As a member of the Performance and Analytics team, you'll define performance standards and are closely involved in product design and architecture to ensure products are fundamentally built for high performance and scalability. You'll play a critical role in taking products to market by generating performance highlights and educating customers on sizing and performance best practices. Research is ingrained in our DNA. You'll work as a team to invent new technologies which enable our products to scale to next generation hardware and applications. We work as a team to advance through research, development and domain expertise the future of AI within the company.

You'll use your experience to explain, debug, and improve reinforcement learning models which drive performance considerations at the hardware, hypervisor, and guest OS layers into an overall understanding of why self-driven systems perform as they do, and then to communicate what is learned to the appropriate stakeholders. You'll partner with the engineers across the performance team as well as developers and data scientists to improve core products, developing best practices, authoring blogs and white papers, and presenting internally, at conferences, and directly to partners and customers. You’ll be part of a bright engineering team with open communication, empowerment, innovation, teamwork and customer success culture.

Required Skills:

  • Master’s or PhD in Computer Science or related field

  • 5+ years of relevant experience

  • Solid understanding of and hands-on experience in large distributed systems

  • Deep understanding of ML model algorithms and architecture

  • Experience in ML model training, ML model explanation, and in getting AI/ML working in real systems

  • Strong coding skills in Python

  • Experience in system software development, testing and performance engineering

  • Working knowledge of Linux/Unix

  • Capable of architecting/understanding complex software solutions

  • Excellent analytical and debugging skills

  • Excellent verbal and written communication skills and team player

Preferred Skills:

  • Experience with Tensorforce or other reinforcement learning library

  • Passionate about building software with continuous integration and deployment

  • Basic hypervisor system administration skills

  • Hands on with C, C++ programming

This role is available to candidates in Arizona, California, Colorado, Nevada, New Mexico, Oregon, Texas, and Utah only. This role is based in United States and unfortunately, we are unable to offer relocation assistance on this occasion.


Category : Engineering and Technology
Subcategory: Software Engineering
Experience: Business Leadership
Full Time/ Part Time: Full Time
Posted Date: 2020-12-08

Research & Development Operations & Central Services: VMware’s R&D Operations and Central Services team makes sure our customers enjoy a high-quality experience across the entire product portfolio.  Our goal is to protect the company’s brand reputation by continually improving customer satisfaction. We bring together key R&D functions such as performance, security, and release management, which frees up R&D business units to focus on product innovation. Our priorities include investing in R&D talent, sharing best practices, and driving scale and agility in VMware products. Are you interested in expanding your R&D skills and experience in ways few jobs can? Join our team, and you’ll help deliver game-changing solutions across business units and product lines. Our team members also work with outside companies, build new contacts, and take part in industry-wide conferences and committees.

VMware Company Overview: At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our cloud, mobility, and security software form a flexible, consistent digital foundation for securely delivering the apps, services and experiences that are transforming business innovation around the globe. At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Shape what’s possible today at http://careers.vmware.com.

Equal Employment Opportunity Statement: VMware is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: VMware is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at VMware are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. VMware will not tolerate discrimination or harassment based on any of these characteristics. VMware encourages applicants of all ages. Vmware will provide reasonable accommodation to employees who have protected disabilities consistent with local law.

This job has closed but is shown for context on data science work at VMware.
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