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Senior AI Engineer - Computer Vision
ZipRecruiter - Chicago, Illinois, United States, 60290
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Overview
Job DescriptionJob DescriptionDescription:
About SITE Technologies:
At SITE Technologies, we’re on a mission to revolutionize facility management with cutting-edge AI
solutions that empower enterprise customers to operate more efficiently. Founded in 2018 in Chicago,
we’ve grown rapidly—especially after our Series A funding in 2023—and we’re just getting started!
Our Core Values define how our team shows up every day:
-Solve Impossible Problems
-Embrace Empathy and Integrity
-Own Your Outcome
-Do The Best Work Of Our Lives
-Together We Thrive
If you're looking to be part of a fast-growing, forward-thinking team where your work makes an impact,
come join us!
Working at SITE Technologies:
Help Shape the Future at SITE Technologies!
We are seeking a Senior AI Engineer to join our team, focusing on computer vision. The ideal candidate will have a strong background in both traditional image processing techniques and deep learning computer vision models, as well as experience in deploying and managing AI models in production environments.
Requirements:
Design and implement computer vision solutions using both traditional image processing approaches and modern deep learning models
Deploy AI models as both long-running processing jobs and low-latency endpoints, following MLOps best practices
Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows
Create PoC that applies the latest advancements in computer vision in SITE’s use cases.
3+ years of experience in AI/ML engineering, with a focus on computer vision
Strong proficiency in Python, PyTorch, OpenCV, and other computer vision libraries
Proven experience of creating computer vision solutions beyond proof of concept and academic projects
Knowledge of AWS services relevant to ML and computer vision, such as SageMaker, EC2, S3, and Lambda
Experience with data annotation for computer vision tasks, including use of open-source tools or commercial solutions in a professional environment
Experience with version control systems (e.g., Git) and collaborative development workflows
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Qualifications
Advanced degree (M.S. or Ph.D.) in Computer Science, Machine Learning, or a related field
Contributions to open-source projects or research publications in computer vision or MLOps
Publications in peer-reviewed journals or conferences in the fields of computer vision, machine learning, or related areas
Experience with 3D data and/or geospatial data
Experience with containerization (Docker) and orchestration (AWS ECS, Kubernetes) for ML workloads
Experience with Infrastructure as Code (preferably Terraform)
Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or similar platforms
Familiarity with ONNX for model interoperability and optimization
What we have to offer:
-A competitive salary plus the opportunity to participate in SITE’s stock options plan.
-Generous paid vacation and separate sick time banks.
-Ten (10) Company holidays off plus two (2) floating holidays.
-Two (2) paid days to do volunteer work
-Paid parental leave benefits available after ninety (90) days of employment
-Employee health, dental, vision, life and short-term coverage at no cost available on the
first of the month after your hire date.
-401K plan with a 4% employer safe harbor contribution
-A strong workplace culture with a smart, collaborative team
About SITE Technologies:
At SITE Technologies, we’re on a mission to revolutionize facility management with cutting-edge AI
solutions that empower enterprise customers to operate more efficiently. Founded in 2018 in Chicago,
we’ve grown rapidly—especially after our Series A funding in 2023—and we’re just getting started!
Our Core Values define how our team shows up every day:
-Solve Impossible Problems
-Embrace Empathy and Integrity
-Own Your Outcome
-Do The Best Work Of Our Lives
-Together We Thrive
If you're looking to be part of a fast-growing, forward-thinking team where your work makes an impact,
come join us!
Working at SITE Technologies:
Help Shape the Future at SITE Technologies!
We are seeking a Senior AI Engineer to join our team, focusing on computer vision. The ideal candidate will have a strong background in both traditional image processing techniques and deep learning computer vision models, as well as experience in deploying and managing AI models in production environments.
Requirements:
Design and implement computer vision solutions using both traditional image processing approaches and modern deep learning models
Deploy AI models as both long-running processing jobs and low-latency endpoints, following MLOps best practices
Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows
Create PoC that applies the latest advancements in computer vision in SITE’s use cases.
3+ years of experience in AI/ML engineering, with a focus on computer vision
Strong proficiency in Python, PyTorch, OpenCV, and other computer vision libraries
Proven experience of creating computer vision solutions beyond proof of concept and academic projects
Knowledge of AWS services relevant to ML and computer vision, such as SageMaker, EC2, S3, and Lambda
Experience with data annotation for computer vision tasks, including use of open-source tools or commercial solutions in a professional environment
Experience with version control systems (e.g., Git) and collaborative development workflows
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Qualifications
Advanced degree (M.S. or Ph.D.) in Computer Science, Machine Learning, or a related field
Contributions to open-source projects or research publications in computer vision or MLOps
Publications in peer-reviewed journals or conferences in the fields of computer vision, machine learning, or related areas
Experience with 3D data and/or geospatial data
Experience with containerization (Docker) and orchestration (AWS ECS, Kubernetes) for ML workloads
Experience with Infrastructure as Code (preferably Terraform)
Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or similar platforms
Familiarity with ONNX for model interoperability and optimization
What we have to offer:
-A competitive salary plus the opportunity to participate in SITE’s stock options plan.
-Generous paid vacation and separate sick time banks.
-Ten (10) Company holidays off plus two (2) floating holidays.
-Two (2) paid days to do volunteer work
-Paid parental leave benefits available after ninety (90) days of employment
-Employee health, dental, vision, life and short-term coverage at no cost available on the
first of the month after your hire date.
-401K plan with a 4% employer safe harbor contribution
-A strong workplace culture with a smart, collaborative team