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Applied Intuition

Builds software for autonomous vehicles

Senior Software Engineer - ML Infrastructure

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$215k - $285k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, or equivalent is required.
  • At least 3 years of professional experience is required.
  • Experience building software components for production, full-stack machine learning challenges is required; this is not purely a research problem.
  • Opinions about building a company-wide platform for machine learning training, evaluation, and deployment are required.
  • Knowledge of the open-source landscape and judgment about when to choose open source versus building in-house are required.
  • Analytical and problem-solving skills are required.

Responsibilities

  • Design and implement distributed cloud GPU training approaches for deep learning model training and evaluation.
  • Build end-to-end machine learning pipelines and integrate them into core product workflows.
  • Encourage change in support of machine learning engineering best practices and maintain a high standard of excellence.
  • Collaborate with engineers across the company to solve complex data problems at scale.
  • Work across the machine learning lifecycle, including dataset generation, training frameworks, compute, evaluation, and deployment, and work directly with modeling teams.
  • Take ownership of technical and product decisions, interact with external and internal users to collect feedback, and contribute to team culture.

Desired Qualifications

  • Experience developing, running, and managing orchestration systems such as Airflow and Flyte that non-engineers can use to build data pipelines.
  • Experience with machine learning modeling frameworks such as PyTorch and TensorFlow, and model-serving platforms such as TorchServe, TensorFlow Serving, and NVIDIA Triton Inference Server.

About the Company

Applied Intuition

Builds software for autonomous vehicles

Applied Intuition builds software for automakers and operators developing autonomous vehicles and other machines, from passenger cars to industrial equipment. Its Tools for Vehicle Intelligence let engineers test driving behavior in simulated worlds, while Vehicle OS connects software inside a machine with development tools off the vehicle. The Self-Driving System supports driver assistance and fully driverless operation for passenger and commercial vehicles. It sells these systems to businesses and works alongside their engineers to integrate, validate and update vehicle software. Applied Intuition was founded in 2017 and is headquartered in Sunnyvale, California.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.2B
Headquarters
Sunnyvale, CA
Founded
2017

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