Senior ML Platform & Data Infrastructure Manager

Polluxa, Inc.

Sunnyvale (CA)

On-site

USD 180,000 - 240,000

Full time

12 days ago

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Job summary

Polluxa, Inc. seeks a senior ML leader to design and deploy large-scale AI/ML systems for a data platform. You will oversee end-to-end ML development, including deployment, evaluation, and data processing to support rapid search and decision-making.

The role requires extensive leadership experience, a track record in ML infrastructure, and ability to manage teams. Candidates with advanced degrees are preferred and a strong background in speech/audio or RL is advantageous.

Qualifications

  • Bachelor’s degree or equivalent practical experience required.
  • 8 years of software development experience.
  • 5 years in Speech/Audio ML, RL, ML infra, or ML specialization.
  • 5 years leading ML design and optimizing ML infrastructure.
  • 3 years in technical leadership, plus 2 years in people management.

Responsibilities

  • Develop AI/ML systems from scratch for data platform.
  • Process exabytes of data rapidly and enable search within 30 minutes.
  • Augment customer data with context for security analysts.
  • Provide data management capabilities like removal and archival.
  • Drive roadmap and execution of data intelligence indexing & enrichment, focusing on Spanner infrastructure.

Skills

Software development
Speech/Audio ML
Reinforcement learning
ML infrastructure
ML leadership
Technical leadership
People management

Education

Bachelor’s degree or equivalent practical experience
Master’s or PhD (preferred)

Job description

Polluxa, Inc. seeks a senior ML leader to design and deploy large-scale AI/ML systems for a data platform. You will oversee end-to-end ML development, including deployment, evaluation, and data processing to support rapid search and decision-making.

The role requires extensive leadership experience, a track record in ML infrastructure, and ability to manage teams. Candidates with advanced degrees are preferred and a strong background in speech/audio or RL is advantageous.

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