Job Description

Company Overview

At Thoro, we're on a mission to deliver the benefits of autonomous mobile robotics in complex industrial and retail environments. It all starts with the Thoro autonomy stack, a platform created from industry-leading software and hardware, and designed to adapt across a variety of industries and conditions. The stack consists of world-class autonomy software, highly customizable robotic fleet management solutions, a customer facing cloud app, a deployment and ops support service, and advanced low-cost hardware solutions.

This is not a research project: we are focused on autonomy at scale, and we've forged commercial partnerships with leading OEMs around the world. Moreover, we have two world-class products scaling globally now - an autonomous pallet mover, and an autonomous floor scrubber, and we are well-positioned to further develop our autonomy stack into other products and verticals.

We are succeeding because we have built a focused team with incredible subject matter expertise. We also have a collaborative and optimistic outlook on the future of robotics in the workplace. Finally, our technical foundation, focus on vision-based machine learning, and relentless pursuit of achieving great performance with the lowest cost hardware stack possible, gives us a competitive advantage.

Job Summary

We are seeking a skilled Machine Learning / Computer Vision Engineer with 3+ years of experience to join our Perception team. This role involves collaborating with the autonomy team to design, prototype, and implement machine-learning algorithms for object localization and semantic segmentation, powering the Thoro autonomy stack. Your expertise will be critical in advancing our perception capabilities and deploying cutting-edge solutions in real-world applications.

Responsibilities and Duties

• Collaborate with other members of the Autonomy team to improve/ideate and implement perception algorithms that power the Thoro autonomy stack
• Design, prototype, and evaluate machine learning algorithms for object localization and semantic segmentation
• Own the production machine learning pipeline, from ordering data collections to deploying to our fleet
• Serve as a technical expert on computer vision solutions including classical, machine learning, and open-source libraries

Qualifications

Must have:

• 3+ years of experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence
• Excellent software engineering skills in C/C++ and Python
• 1 - 3 years of experience with any deep learning framework (PyTorch, JAX, TensorFlow)
• Ability to develop and build code in Linux-based environments.
• Familiarity with version control (Git), automated testing, and technical documentation
• Extensive experience translating research publications into actual software implementations
• Excellent communication and leadership skills

Would like:

• Strong track record of deploying machine learning models in real-world, safety-critical applications
• Experience with Qualcomm SNPE SDK and Nvidia TensorRT
• Bachelor’s degree in software engineering, computer science, robotics, or a related field (Master’s or Ph.D. degree preferred)
• Strong math skills with a background in computational geometry, non-linear optimization, linear algebra
• Familiarity with state-of-the-art deep learning models for image segmentation and object detection
• Stay updated with the latest advancements in machine learning and computer vision and apply them to improve current algorithms

Why You’ll Like it Here

• Competitive salary and equity packages
• 401(k) retirement plan with company match 
• Pre-tax health care, dependent care, and commuter benefits (FSA)
• Flexible medical, dental, and vision benefits for you and your family
• Life insurance & disability insurance
• Complimentary daily lunch & beverages
• Awesome, encouraging team atmosphere
• Unlimited paid time off
• Office social events including happy hours, parties, and community service projects
• Free on-site parking in a great urban environment (the Lawrenceville neighborhood of Pittsburgh)
• A casual, laid-back work environment
• Innovative environment immersed in technology and robotics

Thoro.ai is an Equal Opportunity Employer that welcomes applications from all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, or status as a covered veteran in accordance with applicable laws and Thoro’s employment policies.

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