Computer Vision Engineer

Our Company

Our mission at AICrete is to revolutionize the global concrete and construction industry by significantly increasing profitability, sustainability, efficiency, and productivity in real-time through our transformative all-in-one AI-powered operating system, AICreteOS, harnessing the power of AI, machine learning, computer vision, software, and automation.

Role Summary

We are looking for a Computer Vision Engineer to join our fast-growing team. You'll be responsible for the full product development life cycle, from conception to deployment. The ideal candidate will be residing in the SF Bay Area. This is a hybrid position (in-person as needed and remote the rest of the time). 

Duties and Responsibilities

• Collaborate with data scientists, computer vision engineers, research engineers, and software engineers to develop and execute data collection efforts.
• Researching, designing, implementing, and prototyping advanced image analysis techniques and solutions using computer vision and deep learning.
• Work with other groups from across the company to deliver the highest level of technology to customers.
• Work with other engineers to think through software solutions.

Qualifications

• Solid foundation in computer vision, image analysis and processing, and imaging technologies.
• Deep understanding of deep learning and computer vision technologies and experience in turning them into practical, state-of-the-art solutions and systems.
• Solid Python and system-building skills.
• Passionate about cutting-edge computer vision and machine learning technologies and product delivery.
• Self-motivated, detailed-oriented, organizational and problem-solving skills, and an analytical mind.
• Excellent communication skills.
• Motivated by achieving targets and willing to learn and get results.
• Act with integrity, keep commitments, and practice transparency.
• Thrive in ambiguous, rapid project schedules, being able to quickly adjust priorities and enhance development and testing time.
• Degree in Computer Science with a focus in computer vision.

Additional Qualifications

• Ph.D. or MS in computer vision; proven computer vision experience with degree in EE or CS.
• Hands-on experience in robotics or embedded systems is a plus.

Benefits

• Health insurance (medical, dental, vision, and life)
• Equity in a fast-growing startup
• Unlimited paid time off
• Home office allowance for office set-up