Machine Learning Engineer
Confirmed live in the last 24 hours
ISEE

51-200 employees

Website
Autonomous driving technology company building advanced AI
Company Overview
ISEE is an autonomous driving technology company, spun out of MIT, whose humanistic, AI-powered, self-driving yard trucks are modernizing the global supply chain for the world’s leading companies. ISEE autonomous yard trucks are helping customers like Maersk, Lazerspot, and Fortune 100 retail companies automate their logistics hubs and achieve even greater yard safety, cost savings, consistent driving performance, and reliable driving capacity. With proprietary technology that anticipates unexpected behavior better than any other solution on the market, ISEE is poised to become a leader in the $100B global autonomous yard truck market.
AI & Machine Learning
Industrial & Manufacturing
Robotics & Automation

Company Stage

Series B

Total Funding

$57.7M

Founded

2017

Headquarters

Cambridge, Massachusetts

Growth & Insights
Headcount

6 month growth

↓ -14%

1 year growth

↓ -4%

2 year growth

↑ 30%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Computer Vision
Data Structures & Algorithms
Pytorch
Tensorflow
Python
Communications
CategoriesNew
AI & Machine Learning
Mechanical Engineering
Requirements
  • Degree in Computer Science, Electrical Engineering, Robotics or related field
  • Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe
  • Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data
  • Strong Python and/or C++ skills
  • Passionate about self-driving vehicles and real-world robotic solutions
  • Strong presentation and communication skills
  • Publication record in top-tier computer vision or machine learning conferences
  • 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios
Responsibilities
  • Working on the intersection of sensing and perception algorithms
  • Prototyping and deploying robust computer vision algorithms on ISEE's vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition
  • Benchmarking and maintaining developed modules
  • Work independently to deliver high-quality code in a timely fashion
  • Collaborate with team for testing, evaluation and review of code
Desired Qualifications
  • Robotics/autonomous experience is a plus