Computer Vision Engineer - Santa Clara CA Hybrid
Computer Vision Engineer - Santa Clara CA Hybrid
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1 Vacancy
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 13000 people and operate in 60 countries. Through our pioneering and sustainable shareandreuse business model the worlds biggest brands trust us to help them transport their goods more efficiently safely and with less environmental impact.
What does that mean for you Youll join an international organization big enough to take you anywhere and small enough to get you there sooner. Youll help change how goods get to market and contribute to global sustainability. Youll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your worklife balance and flexibility through ourHybrid Work Model.
Job Description
POSITION PURPOSE
Creates impact through excellent delivery with guidance supporting development and implementation phases of global computer vision projects
MAJOR / 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 resourceconstrained edge systems
Monitor and finetune 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 C0NTACTS
Internal: Other computer vision engineers & scientists Computer Vision Chapter Lead Project stakeholders
External: Project stakeholders
QUALIFICATIONS
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:
12 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 nontechnical audience
SKILLS AND KNOWLEDGE
Knowledge of major computer vision methods and foundation models
Strong analytical and communication skills
Attention to detail
Multitasking
Remote Type
Hybrid RemoteSkills to succeed in the role
Active Learning Adaptability C Programming Language Computer Vision CrossFunctional 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
Employment Type
Full-Time
