Simplify Logo

Full-Time

Senior Machine Learning Engineer

Posted on 6/27/2024

Cavnue

Cavnue

51-200 employees

Develops advanced roads for autonomous vehicles

Data & Analytics

Compensation Overview

$151k - $205kAnnually

+ Equity Program + Annual Incentive Program

Senior, Expert

Remote in USA

Category
Applied Machine Learning
Robotics & Autonomous Systems
AI Research
AI & Machine Learning
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Computer Vision
Requirements
  • Bachelor’s Degree in Computer Science, Engineering, or related field
  • 5+ years of work experience in autonomous vehicle or robotics space
  • Familiarity with productionized computer vision technologies and algorithms
  • Experience developing reliable production-level applications
  • Experience in statistical signal processing or deep learning for computer vision
  • Experience with large-scale data structures, data pipelines, and ML libraries like TensorFlow and Pytorch
  • Python experience
Responsibilities
  • Develop applied solutions for real-world problems in autonomous robotics and road transportation
  • Build production-scale AI capabilities for engineering challenges
  • Design for each stage in the ML model lifecycle
  • Work with Product and Systems Engineering teams to collect relevant data sets
  • Design, build, and work with high-quality ML infrastructure and data pipelines
  • Identify and apply emerging AI technologies

Cavnue is dedicated to enhancing roadway technology and safety by integrating cutting-edge technologies into the infrastructure that supports both connected and autonomous vehicles. With a focus on creating a digital model of roadways that allows for real-time analysis and optimization, this company stands at the forefront of next-generation transportation solutions. Working here offers the opportunity to be part of a team that is paving the way for safer and smarter roads, utilizing technology to revolutionize the way we think about travel and transport logistics.

Company Stage

Series A

Total Funding

$130M

Headquarters

Washington, District of Columbia

Founded

2020

Growth & Insights
Headcount

6 month growth

2%

1 year growth

-1%

2 year growth

72%