Equinix
A Senior Machine Learning Engineer at Equinix designs, builds, and scales machine learning and AI solutions to solve real-world business problems across sales, marketing, and customer success domains. This role blends applied machine learning, software engineering, and MLOps to translate advanced capabilities into reliable, production-ready systems.
Headquarters
Redwood City, California, United States
Company Size
10001+ employees
Founded
1998
Equinix is the largest global data center and colocation provider for enterprise network and cloud computing. Secure datacenter management technologies and systems.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Equinix.
Equinix didn’t post a salary, so this is our estimate from similar listings.
25% above the average for this role
CPP Investments and Equinix to Acquire atNorth for US$4 Billion
2 weeks ago
Machine Learning Engineer - Octave: Data and Advanced Analytics Centre of Excellence
Largest Listed Conglomerate in the Colombo Stock Exchange | John Keells Group, Sri Lanka
Sr. Machine Learning Engineer
mirion
Senior Machine Learning Engineer
Supercell
Machine Learning Engineer
Bass Pro Shops
Machine Learning Engineer
Walker Smith
Applied AI and Machine Learning Lead
JPMorganChase