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Data & ML Pipeline Software Engineer

1 month, 2 weeks ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow Apache Spark Kafka Machine Learning Python
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

  • Build and maintain large-scale ETL pipelines for ingesting and curating driving datasets.
  • Design and implement systems that automate data selection, labeling, training, and testing loops.
  • Collaborate with modeling teams to improve training efficiency and model performance across iterations.
  • Develop infrastructure that connects real-world test results with new model deployments.
  • Help vehicles learn from data at scale to improve safety and performance.
  • Mentor junior engineers and help define best practices for data-centric development.

Requirements

  • Bachelor's degree or higher in Engineering, such as Computer Science, Electrical Engineering, or Software Engineering.
  • 3–5 years of experience in software or data infrastructure engineering.
  • Experience building and scaling data pipelines, distributed systems, or ML infrastructure.
  • Proficiency in Python and strong knowledge of data frameworks such as Spark, Airflow, or Kafka.
  • Experience working with large-scale datasets and data-driven development cycles.
  • Familiarity with machine learning workflows or model training and deployment, especially automation of those processes.
  • Strong systems thinking and ability to work across data, infrastructure, and ML layers.
  • Interest in seeing the direct impact of infrastructure work on vehicle performance and improvement.
  • Experience with automotive (AV) or robotics systems is preferred.
  • Previous work on ML platforms for large-scale products, such as Ads, Recommendation, or Autonomy pipelines, is preferred.
  • Experience with highly automated ML training workflows is preferred.
  • Prior contributions to systems that connect data-driven model iteration loops or a data flywheel are preferred.
  • Ability to move fast, learn quickly, and mentor others while growing with the team is preferred.

Benefits

  • Base salary of $125,000–$222,000 USD annually, depending on location and candidate factors.
  • Equity in the form of options and/or restricted stock units.
  • Comprehensive health, dental, vision, life, and disability insurance coverage.
  • 401(k) retirement benefits with employer match.
  • Learning and wellness stipends.
  • Paid time off.
  • In-office work with flexibility for occasional remote work and schedule accommodations when needed.

Interested in this position?

Apply directly on the company website

Apply Now

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