Full-Time
Machine Learning Engineer
Confirmed live in the last 24 hours
ISEE
51-200 employees
Develops autonomous yard truck solutions for logistics
Mid, Senior
Remote in USA
You match the following ISEE's candidate preferences
Employers are more likely to interview you if you match these preferences:
- 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.
- 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.
- 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.
- Robotics/autonomous experience is a plus.
ISEE AI specializes in creating autonomous yard truck solutions for logistics and warehouse environments. Their autonomous trucks use artificial intelligence to navigate complex settings, improving the efficiency of yard operations. These trucks are designed to work alongside people and equipment, ensuring smooth workflows in busy distribution centers and industrial yards. Unlike many competitors, ISEE AI focuses specifically on yard operations, which are often overlooked in the logistics chain, providing a unique advantage. The company aims to enhance operational efficiency and reduce costs for its clients by offering reliable and effective autonomous driving systems based on advanced research from MIT. Their business model includes selling and leasing these vehicles, along with providing ongoing support, fostering long-term client relationships.
Company Size
51-200
Company Stage
Series B
Total Funding
$53.5M
Headquarters
Cambridge, Massachusetts
Founded
2017
Simplify's Take
What believers are saying
- ISEE's commercial deployment at a Fortune 100 site marks a significant industry milestone.
- ISEE raised $40M in Series B, indicating strong investor confidence.
- ISEE's collaboration with Maersk opens opportunities in global logistics.
What critics are saying
- Increased competition from TuSimple and Aurora may impact ISEE's market share.
- Potential regulatory hurdles could delay ISEE's autonomous truck deployment.
- Reliance on large clients like Maersk poses a risk if they switch to competitors.
What makes ISEE unique
- ISEE's AI anticipates unexpected behavior better than competitors' solutions.
- ISEE's technology is based on world-class MIT research, enhancing reliability.
- ISEE's AI-powered trailer auto-coupling system is an industry-first innovation.
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Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -7%2 year growth
↑ 1%By harnessing the power of AI, machine learning, and computer vision, ISEE has created and deployed a fully autonomous system that streamlines the yard movement of trailers and containers to reduce costs, improve safety, and give companies staffing predictability amidst ongoing labor shortages.
CAMBRIDGE, Mass.--(BUSINESS WIRE)--ISEE, a leader in autonomous vehicle technology for transportation and logistics, announced today the world’s first commercial fleet deployment of autonomous yard trucks at a Fortune 100 customer’s site. This cutting-edge deployment, located in Texas, represents a transition from pilots and testing to commercialization of autonomous yard trucks and ushers in a new era of safety, efficiency, and capacity for the supply chain. The autonomous truck yard represents a significant milestone in the advancement of transportation logistics. By harnessing the power of AI, machine learning, and computer vision, ISEE has created and deployed a fully autonomous system that streamlines the yard movement of trailers and containers to reduce costs, improve safety, and give companies staffing predictability amidst ongoing labor shortages. The deployment at the 1.7 million square foot distribution center, with 750 trailer staging bays, is the first of its kind using a fleet of autonomous yard trucks with the ability to operate across all shifts, day and night, rain or shine
ISEE unveils AI-Powered Trailer Auto-Coupling system.
CAMBRIDGE, Mass.--(BUSINESS WIRE)--At the Manifest supply chain technology showcase, ISEE, a leading autonomous vehicle company, unveiled their fully-automated, AI-powered trailer auto-coupling system for autonomous yard trucks. ISEE’s industry-first technology autonomously couples the trailer and connects the airlines without any trailer modifications, adapters, markers, or remote control. The new patent-pending technology unlocks even more safety and efficiency benefits for ISEE customers. The new ISEE trailer auto-coupling system integrates a six-axis robotic arm on the back of the autonomous yard truck cab. Using AI-powered auto-coupling technology, the system autonomously identifies the precise locations and orientations of the trailer air connectors for both the service and parking brakes. Trailer air connectors, known as gladhands, vary in location, orientation and type from one trailer to another, making the process of finding the gladhands and attaching them a challenging task for a robotic system
ISEE, a leader in autonomous vehicle technology for transportation and logistics, announced today the world's first commercial fleet deployment of autonomous yard trucks at a Fortune 100 customer's site.