Computer Vision Engineer - Santa Clara, CA (Hybrid)

Remote Full-time
Job title: Computer Vision Engineer - Santa Clara, CA (Hybrid) in Santa Clara, CA at CHEP

Company: CHEP

Job description: CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our .Job DescriptionPOSITION PURPOSECreates impact through excellent delivery with guidance, supporting development and implementation phases of global computer vision projectsMAJOR / KEY ACCOUNTABILITIES

Support initial phases of project workflow including open research, data collection & exploration, supervision of annotation efforts, review approaches


Leverage large image and video data sets to construct and evaluate ML/AI prototypes while minimizing resource requirements


Optimize computer vision models for deployment on resource-constrained edge systems


Monitor and fine-tune production ML systems using techniques such as drift monitoring and active learning


Review state of the art computer vision techniques and explore their viability on current projects


Contribute to computer vision team discussions by providing insight on potential approaches, assisting with troubleshooting and problem solving
MEASURES

Successful application of computer vision principles


Successful completion of projects


Software and CV models meet team standards
CHALLENGES / PROBLEM SOLVING

Computer vision model selection and optimization


Working autonomously
KEY C0NTACTSInternal: Other computer vision engineers & scientists, Computer Vision Chapter Lead, Project stakeholdersExternal: Project stakeholdersQUALIFICATIONS

BS/MS degree in Computer Vision, Data Science, Computer Science, Engineering, or related field


Proficient with computer vision and deep learning toolkits including OpenCV, Pytorch, ONNX, TensorRT


Strong proficiency with Python


Proficient with MLOps tools such as bitbucket/git, DVC, MLflow, JIRA, jupyter, docker
Desirable Qualifications:

1-2 years working on industrial applications of computer vision


Proficient with Go, C/C++, other languages


Proficient with edge and distributed GPU computing
EXPERIENCE

Broad computer vision portfolio including object detection, image classification, action recognition, image segmentation, deduplication, similarity search, and unique identification


Working autonomously and delivering results on schedule


Presenting project work and results to technical and non-technical audience
SKILLS AND KNOWLEDGE

Knowledge of major computer vision methods and foundation models


Strong analytical and communication skills


Attention to detail


Multi-tasking
Remote TypeHybrid RemoteSkills to succeed in the roleActive Learning, Adaptability, C++ Programming Language, Computer Vision, Cross-Functional Work, Curiosity, Data Science, Data Storytelling, Data Visualization, Deep Learning, Digital Literacy, Emotional Intelligence, Empathy, Git, GStreamer, Image Processing, Initiative, Jupyter Notebook, Linux, Machine Learning, Problem Solving, Python (Programming Language)We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at [email protected].

Expected salary:

Location: Santa Clara, CA

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