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Machine Learning Engineer at Riverbed - ApplyBlast

Machine Learning Engineer

Riverbed

2 months ago

Atlanta, Georgia, United States

Onsite

Full Time

Senior

0 applicants

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About this role

The role involves leading the end-to-end architecture and development of machine learning solutions, implementing algorithms into large‑scale services and pipelines, and building highly scalable, distributed microservice backends. The engineer will work within a productive, creative team to design and deploy full‑stack, distributed shallow and deep‑learning and big data technologies.

Responsibilities

Lead end-to-end architecture and development of machine learning solutions
Implement machine learning algorithms into large‑scale services and pipelines
Engineer distributed systems using shallow and deep‑learning and big data technologies
Architect and develop highly scalable, multi‑tenant microservices backend solutions
Collaborate with a productive and creative engineering team

Skills

Qualifications

Bachelor's Degree in Computer Science, Management Information Systems, or BusinessMaster's Degree in Machine Learning, Computer Vision, or Natural Language ProcessingPhD in Machine Learning, Computer Vision, or Natural Language Processing

About Riverbed

riverbed.com

Headquarters

San Francisco, California, United States

Company Size

1001-5000 employees

Founded

2002

View Profile

Riverbed offers AI-driven observability and digital experience optimization for enterprise IT. Its Riverbed Platform unifies telemetry across users, devices, networks, and applications and uses AI-powered analytics and automation to proactively troubleshoot and prevent downtime, improving performance and resilience.