Internship

Machine Learning – Perception Internship/Co-op

Posted on 10/8/2024

Teleo

Teleo

1-10 employees

Retrofitting heavy equipment for remote control

Compensation Overview

$28.85 - $34.62/hr

Palo Alto, CA, USA

Category
Robotics & Autonomous Systems
Computer Vision
AI & Machine Learning
Required Skills
Python
Neural Networks
Pytorch
Machine Learning
Computer Vision
Requirements
  • Ongoing/completed Ph.D. or Master’s degree in Computer Science or a related field. Bachelor’s degree in Computer Science or a related field with exceptional skills can be considered as well.
  • Proficiency in Python and PyTorch.
  • Solid understanding of neural networks and machine learning fundamentals.
  • Experience with a vision-based deep learning project.
  • Strong enthusiasm for continuous learning, including reading academic papers and participating in discussions about current trends in computer vision.
Responsibilities
  • Work with the ML team to improve existing as well as implement new perception features within our systems.
  • Stay abreast of the latest research by reading and implementing state-of-the-art methods from academic papers.
  • Regularly communicate progress, challenges, and achievements to the team.
  • Contribute to the advancement of the field by publishing research papers and filing patents.
Desired Qualifications
  • Experience with perception projects involving cameras and/or lidar for tasks such as object detection, scene segmentation, depth estimation, freespace estimation, etc.
  • Experience with Vision-Language Models (VLMs) and/or Large Language Models (LLMs).
  • Good understanding of calibrating fisheye cameras using advanced models like the double sphere camera model.
  • Proficiency in C++.
  • Experience with version control systems, particularly Git.
  • Authorship or co-authorship of papers presented at conferences like CVPR, NeurIPS, IROS, etc.
  • Self-motivated and capable of planning and completing tasks independently.

Teleo retrofits heavy equipment in the mining and construction sectors to create remotely controlled robots, allowing operators to manage machinery from a safe location. This approach enhances safety by keeping operators away from hazardous environments and improves efficiency by enabling control of multiple machines from one spot. Unlike competitors that sell new equipment, Teleo focuses on upgrading existing machinery, which reduces costs for clients. The company's goal is to enhance safety and productivity in these industries through its retrofit technology.

Company Size

1-10

Company Stage

Series A

Total Funding

$36.3M

Headquarters

Palo Alto, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $16.2M to scale deployments and enhance AI capabilities.
  • Partnerships with major suppliers like RDO Equipment Co. boost market penetration.
  • Expanding dealer network into Midwest, Australia, and Southeast Asia.

What critics are saying

  • Integration of LLMs may face data privacy and security challenges.
  • Expansion into new industries may encounter regulatory and compliance issues.
  • Rapid scaling could strain operational capacity and affect service quality.

What makes Teleo unique

  • Teleo retrofits existing machinery, avoiding high costs of new equipment purchases.
  • Operators control multiple machines remotely, enhancing safety and productivity.
  • Focus on mining and construction sectors, addressing significant safety challenges.

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Company News

PR Newswire
Nov 21st, 2024
Teleo Raises $16.2 Million In Series A Extension Funds Led By Up.Partners

Teleo will use the funds to scale customer deployments of its autonomous heavy equipment, continue expanding into new industries beyond construction, and enhance the company's AI capabilities PALO ALTO, Calif., Nov. 21, 2024 /PRNewswire/ -- Teleo, a company building autonomous technology for heavy equipment, today announced it has raised $16.2 million in Series A extension funds in addition to the company's previously announced Series A funding round. The company will primarily use the funds to scale customer deployments and continue its expansion in new industries that use heavy machinery, such as wheel loaders, terminal tractors, excavators, and more. Teleo will also use the funds to enhance its AI capabilities, including advancing autonomous features; integrating large language models (LLMs) to further unlock operator efficiency; and collecting real-world data to continue training AI models. Teleo's first extension round, totaling $9.2 million, was led by UP.Partners, with participation from other investors, including new investor Trousdale Ventures and return investor F-Prime Capital, among others. The second extension, totaling $7 million, was also led by UP.Partners, with participation from new investor Triatomic Capital, as well as returning investors F-Prime Capital and Trucks Venture Capital, among others

Rocket News
Nov 21st, 2024
Teleo wants to help the robotics industry reach its 'ChatGPT moment'

TechCrunch has learned that Teleo recently raised $16.2 million in funding through two extensions to its 2022 Series A round.

Yahoo Finance
Oct 4th, 2023
Teleo Announces Customer Launch Of Autonomous Capabilities For Heavy Construction Equipment, Adds New Customers, And Signs Orders For 42 Machines

Teleo autonomous materials hauling will debut on customer job sites starting in DecemberTeleo demonstrates the world's longest point-to-point operation of remote-controlled and semi-autonomous heavy construction equipmentExpanded dealer network covers an additional seven states across the American Midwest and AustraliaRoger Fradin, who has experience serving on boards for Honeywell, L3Harris and others, joins Teleo's board of directorsDALLAS and PALO ALTO, Calif., Oct. 4, 2023 /PRNewswire/ -- Teleo , a company building autonomous technology for heavy construction equipment, today announced at UP.Partners' UP.Summit event that Florida-based Tomahawk Construction will become the first customer to deploy its autonomous capabilities on an active job site. Tomahawk Construction's articulated dump trucks will be able to use autonomous functions to move material to build a residential community in Naples, FL starting in December. In addition, Teleo announced deals with eight new construction customers, including Florida-based Ajax Paving Industries of FL, LLC . Collectively, Teleo's new customers have placed orders for 42 machines. Teleo also announced the addition of Ozark Laser , Murphy Tractor and Position Partners to its global dealer partner network, establishing its dealer footprint across seven states in American Midwest, Australia, New Zealand and Southeast Asia.Teleo today announced at UP.Partners’ UP.Summit event that Florida-based Tomahawk Construction will become the first customer to deploy its autonomous capabilities on an active job site."Construction companies are facing historic labor shortages and incurring significant costs as their machines sit idle," said Vinay Shet, Co-founder and CEO, Teleo

Construction Equipment Guide
Oct 4th, 2023
VIDEO: Teleo Announces Customer Launch of Autonomous Capabilities for Heavy Construction Equipment

VIDEO: Teleo announces customer launch of autonomous capabilities for heavy construction equipment.

Australian Mining
Sep 25th, 2023
Teleo teams up with Position Partners

Position Partners has announced an agreement with Teleo, a US-based company building autonomous technology for heavy equipment.

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