About Us:

With the leading ELD and fleet management platform, we are bringing the trucking industry online and fundamentally changing the way freight is moved on our roads.

The numbers tell the story:

The KeepTruckin network is composed of more than 200,000 drivers and trucks and is expected to grow to 400,000 by end of 2018.

We grew from $1 million to more than $50 million in annual recurring revenue in 12 months, among the fastest growing SaaS companies ever.

Employees really enjoy working at KeepTruckin, check out our Glassdoor reviews. We have built an incredible culture with high trust and transparency, where people feel empowered to do their best work.

About the job:

KeepTruckin has built a high calibre and fast paced Research and Development team which includes PhDs and experienced engineers in Computer Vision, Machine Learning, Robotics, Embedded systems. The team members have published top-tier research in the relevant areas and have launched multiple products in the space with high visibility and traction.

Research Intern is an on-job training position where you will be working on some of the cutting edge problems in Computer Vision, Machine Learning and Robotics. You will get the exposure of solving a problem end-end and contribute in a way that fits your interests and grows your expertise.

Responsibilities

• Prototyping and development of ML/DL/Vision algorithms for video analysis
• Data collection, cleaning, and annotation
• Make and/or explore existing image and video annotation tools

Qualifications:

• Pursuing MS/PhD in CS or EE
• Understanding of ML/DL algorithms e.g. regression, classification, and clustering
• Experities in Computer Vision; especially in object detection, classification, and localization
• Fluency in C++ and/or Python
• Data visualization

KeepTruckin is a rapidly growing startup headquartered in San Francisco. We offer fantastic benefits, a phenomenal office culture, unlimited PTO, and a stocked kitchen. As an equal opportunity employer, we are committed to diversity in the workforce. We consider qualified applicants without regard to sexual orientation, gender identity, race, veteran or disability status.