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Engineering Manager - Data Intelligence

1 month, 2 weeks ago
United States
Full-time
Senior
Engineering Manager
Software Development
LLM
Apply Now
Applied Intuition

Applied Intuition

Vehicle software supplier | Applied Intuition Simulation and validation platform for automotive, trucking, construction, and more. Solutions to safely develop, test, and deploy autonomous systems at scale #PoweringAutonomy Industry leading platform tha...

Internet Software & Services
251-1K
Founded 2017
$352M raised
View All Jobs 36

Description

  • Grow and manage a team of engineers delivering high-quality, well-labeled data and identifying critical edge cases for autonomy.
  • Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure.
  • Lead the integration of foundation models to automate and improve labeling, quality assurance, and data discovery.
  • Evolve the data engine architecture to scale high-fidelity labels, reduce annotation costs, and speed up ML iteration cycles.
  • Set team goals and roadmap in alignment with training, evaluation, and deployment requirements.
  • Partner with research, autonomy, and data infrastructure teams to ensure models are powered by relevant, diverse, high-quality data.
  • Drive hiring, mentoring, and professional growth for a high-performing engineering team.
  • Build systems to measure, validate, and improve dataset integrity.
  • Design intelligent annotation pipelines that combine human expertise with AI-powered automation.
  • Surface rare, high-value driving scenarios from massive multi-modal fleet data.

Requirements

  • 3+ years of engineering management experience.
  • Passion for building and leading high-performing teams.
  • Experience building data quality systems, labeling pipelines, or annotation platforms at scale.
  • Familiarity with modern ML infrastructure and data-centric AI approaches.
  • Understanding of how foundation models can be applied to automate data workflows.
  • Solid track record of building and deploying products.
  • Direct experience with foundation models, including LLMs and VLMs, for data automation tasks (nice to have).
  • Background in autonomous driving or robotics perception (nice to have).
  • Experience with active learning, auto-labeling, or human-in-the-loop ML systems (nice to have).
  • Familiarity with 3D perception data, including camera, lidar, and radar (nice to have).

Benefits

  • Base salary range of $204,000 to $343,000 USD annually.
  • Equity compensation through options and/or restricted stock units.
  • Comprehensive health, dental, vision, life, and disability insurance coverage.
  • 401(k) retirement benefits with employer match.
  • Learning stipend.
  • Wellness stipend.
  • Paid time off.

Interested in this position?

Apply directly on the company website

Apply Now

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