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ML Infrastructure Engineer at Echo Bio - ApplyBlast

ML Infrastructure Engineer

Echo Bio

3 months ago

San Francisco, United States

Onsite

Full Time

Senior

1 applicant

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About this role

A Senior Machine Learning Infrastructure Engineer at Echo Neurotechnologies designs, builds, and scales cloud infrastructure to support massive-scale data, modeling, and analysis platforms for brain-computer interface technology. The role involves creating flexible ML systems, optimizing distributed training pipelines, and managing high-throughput data platforms to enable rapid experimentation with neural signals and diverse datasets.

Responsibilities

Design and build scalable ML cloud infrastructure for massive-scale modeling
Create and optimize distributed training pipelines with cross-GPU communication
Develop high-throughput data pipelines for diverse and large datasets
Establish best practices for reliability and operational excellence in the ML ecosystem
Partner with research teams to productionize complex modeling workflows

Skills

Qualifications

Bachelor's degree in Computer Science or Electrical Engineering5+ years of industry experience in software engineering or systems MLAdvanced degree (MS or PhD) preferred

About Echo Bio

echo.bio

Echo Bio is a biotechnology company focused on developing advanced tools and platforms for biological research and healthcare applications. The company works at the intersection of life sciences, engineering, and data to support better analysis, diagnostics, or laboratory workflows. Echo Bio operates in the biotechnology industry, building technology that helps researchers and healthcare organizations work more effectively.