Research Scientist Intern


  • Job Type: Intern
  • Function: Intern
  • Industry: AI/ML
  • Post Date: 06/05/2024
  • Website:
  • Company Address: 26 Pigeon Hill Rd, Weston, Massachusetts 02493, US

About Venti

The global leader in building autonomous vehicle logistics systems for ports, airports, warehouses, and factories.

Job Description

A world empowered by autonomy. We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives.

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.


About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.


Role responsibilities

  • Be part of the team to implement feature complete fleet management service to support production ready deployment for autonomous vehicles.

  • In charge of global route planning, job scheduling algorithm integration, interface design and backend service implementation.

  • Be part of the architecture team to propose efficient architecture for global route planning and job scheduling integration.

  • Responsible for final production ready integration test for fleet management system.

  • Working with cross domain experts to address challenges in global route planning and job scheduling optimization, to improve autonomous vehicle productivities.


Required experience

  • Students studying in Ph.D in computer science, Robotics, or related fields

  • Familiarity with backend service implementation

  • Ability to adapt and operate under ambiguity

  • Experience with Python, C++

  • Experience with basic deployment setup with container

  • Flexible problem-solver

  • Good communicator and team player.

Bonus experience

  • Experience with ROS or other similar middleware

  • Experience with data structures, object-oriented programming

  • Experience with real world robotics deployment

  • Experience in route planning algorithms and job scheduling optimization.

We are looking for students with ability to commit to 4-6 months internship with us!


We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us!  Come change the world!

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