Head of Perception Platform & ML Pipelines

Motional

Las Vegas (NV)

On-site

USD 240,000 - 330,000

Full time

8 days ago

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Benefits offered by this job

Medical
Dental
Vision
401k with company match
Health savings accounts
Life insurance
Pet insurance

Job summary

Motional is seeking a senior leader for its Perception Platform, shaping data, training, and evaluation pipelines for autonomous vehicle perception. You will mentor engineers, define goals, and drive architectural decisions that accelerate ML development from concept to deployment.

The role blends hands-on coding with strategic leadership, emphasizing scalable systems, visualization tools, and robust production practices across distributed GPU clusters.

Qualifications

  • 7+ years of software engineering experience with 3+ years in leadership or mentorship.
  • 2+ years of experience with distributed ML training across GPU clusters.
  • BS or MS in Computer Science or related field.
  • Hands-on production-level coding in a shared codebase.
  • Proficiency in Python and data processing libraries like NumPy/Pandas.

Responsibilities

  • Build, lead, and manage a high-performing team for data, training, and evaluation pipelines.
  • Provide technical guidance, mentorship, and career development to team members.
  • Define team goals, priorities, and roadmap aligned with company objectives.
  • Collaborate with ML engineers to troubleshoot and optimize ML workflows end-to-end.
  • Lead design and code reviews to uphold quality standards.
  • Foster cross-functional collaboration across the organization.

Skills

Leadership
Python
Distributed ML
Backend architecture
C++
PyTorch
TensorFlow
Kubernetes
Ray
Communication

Education

BS/MS in CS or related

Tools

Kubernetes
Ray

Job description

Motional is seeking a senior leader for its Perception Platform, shaping data, training, and evaluation pipelines for autonomous vehicle perception. You will mentor engineers, define goals, and drive architectural decisions that accelerate ML development from concept to deployment.

The role blends hands-on coding with strategic leadership, emphasizing scalable systems, visualization tools, and robust production practices across distributed GPU clusters.

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