Principal TLM Machine Learning Data Infrastructure

General Motors (GM)

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Sunnyvale, CA
Salary
$275,000–$348,000 / yr
Posted
10 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $312k
$165k most similar roles pay here $368k

This role pays more than 91% of similar roles. Most pay $202,187–$255,925 — the shaded band above. At the midpoint, this role pays about $312k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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At a glance

TL;DR · Principal TLM Machine Learning Data Infrastructure

Principal TLM - ML Data Infrastructure As a Principal TLM - ML Data Infrastructure, you will lead and manage a team of engineers dedicated to designing, developing, and maintaining scalable, robust machine learning data infrastructure. You will be responsible for defining architectural patterns for data ingestion, processing, storage, and access while ensuring high performance and security within the ecosystem. The role involves collaborating with data scientists and product teams to translate requirements into technical specifications, identifying bottlenecks in pipelines, and overseeing the integration of new technologies. You will provide mentorship to junior engineers and manage strategic roadmapping using Agile Methodology. Required skills include proficiency in Python, Scala, or Java, along with deep expertise in large-scale data systems and analytical platforms. This role specifically addresses the infrastructure needs for advanced AI solutions within the robotics and autonomous driving domains.

What you'll do

  • Lead and manage a team of engineers in designing and maintaining scalable ML data infrastructure.
  • Define architectural patterns for data ingestion, processing, storage, and access within the ML ecosystem.
  • Translate stakeholder requirements from data scientists and product teams into technical specifications.
  • Analyze existing systems to identify and resolve bottlenecks in data pipelines and analytical platforms.
  • Evaluate and integrate new technologies and tools to enhance machine learning infrastructure capabilities.
  • Provide technical guidance and mentorship to junior engineers to foster a culture of innovation.
  • Ensure all data infrastructure complies with corporate governance policies, security standards, and regulations.
  • Participate in strategic planning and road mapping for ML infrastructure aligned with company objectives.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in data engineering, software development, or a related field focused on ML data infrastructure.
  • Proven experience leading and managing technical teams.
  • Deep expertise in designing, building, and operating large-scale data systems and analytical platforms.
  • Proficiency in multiple computer languages relevant to data engineering such as Python, Scala, or Java.
  • Strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their data requirements.
  • Solid understanding of Agile Methodology and experience working in an agile environment.
  • Previous experience in Robotics or Autonomous Driving is preferred.

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