Internship
Machine Learning – Perception Internship/Co-op
Winter/Spring 2025
Confirmed live in the last 24 hours
Teleo
1-10 employees
Retrofitting heavy equipment for remote control
Compensation Overview
$28.85 - $34.62Hourly
Palo Alto, CA, USA
Onsite position in Palo Alto, CA.
- 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.
- 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.
- 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.
Teleo converts heavy equipment in the mining and construction sectors into remotely controlled robots by retrofitting existing machinery with advanced technology. This allows operators to control equipment from a safe location, significantly improving crew safety and operational efficiency. Unlike competitors that sell new machinery, Teleo focuses on upgrading current equipment, which helps clients avoid high costs. The goal is to enhance safety and productivity in these industries through teleoperation.
Company Stage
Series A
Total Funding
$35.3M
Headquarters
Palo Alto, California
Founded
2019
6 month growth
↑ 0%1 year growth
↓ -20%2 year growth
↓ -20%
Simplify's Take
What believers are saying
- Teleo's recent customer launches and partnerships, including with Tomahawk Construction and RDO Equipment Co., indicate strong market adoption and growth potential.
- The addition of experienced board members like Roger Fradin and Adam Grosser enhances Teleo's strategic direction and industry credibility.
- Expanding dealer networks across the American Midwest, Australia, and Southeast Asia positions Teleo for significant international growth.
What critics are saying
- The industrial automation market is highly competitive, and Teleo must continuously innovate to maintain its edge.
- Reliance on retrofitting existing equipment may limit scalability and market reach compared to companies offering new autonomous machinery.
What makes Teleo unique
- Teleo's retrofit approach allows clients to upgrade existing machinery, avoiding the high costs of new equipment, unlike competitors who may require full replacements.
- The focus on teleoperation and remote control significantly enhances safety and operational efficiency, setting Teleo apart in the industrial automation market.
- Teleo's ability to control multiple machines from a single location offers a unique productivity advantage over traditional heavy equipment operations.
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