Principal Computer Vision Engineer - Santa Clara CA Hybrid
Principal 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
Excels in delivery and drives outcomes through solution leadership to contribute and align with Digital Team strategic computer vision initiatives
MAJOR / KEY ACCOUNTABILITIES
Lead research of nascent computer vision projects including literature review method evaluation data collection & exploration supervision of annotation efforts
Lead review of established computer vision projects and integrate stateoftheart research and software to improve performance and deliver new features
Leverage large image 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
Guide computer vision team discussions by providing insight on potential approaches assist with troubleshooting and problem solving
Assess project objectives and tactical plans to ensure successful delivery and provide recommendations to team and project leadership
Keep current on the latest findings from researchers in relevant computer vision fields
MEASURES
Successful application of computer vision principles
Delivery of models that achieve performance benchmarks
Software and CV models meet team standards for readability maintainability and efficiency
AUTHORITY / DECISION MAKING
Computer vision model selection and optimization
Working autonomously
KEY CONTACTS
Internal: Computer Vision Chapter Lead Project stakeholders other computer vision team engineers
External: Project stakeholders
QUALIFICATIONS
PhD in Computer Vision Computer Science Engineering or related field
Expert in using AI deep learning and traditional computer vision for facial recognition person reid (reidentification) or unique identification of objects
Expert in the use of model optimization techniques such as quantization pruning and knowledge distillation
Expert level proficiency with computer vision and deep learning toolkits including OpenCV Pytorch ONNX TensorRT
Expert level proficiency with Python
Proficient with creation indexing and searching embeddings latent space and vector representations of data
Proficient with MLOps tools such as bitbucket/git DVC MLflow JIRA jupyter docker
Desirable Qualifications:
Proficient with multinode multiGPU training of deep neural networks using model and data parallelism
Proficiency with Go C/C
Proficiency with Tensorflow
EXPERIENCE
5 years of computer vision research and development in industrial or academic settings
Demonstrated ability to work autonomously and deliver results on schedule
SKILLS AND KNOWLEDGE
Extensive knowledge of fundamental computer vision methods and foundation models
Attention to detail
Multitasking and strong analytical skills
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
Required Experience:
Staff IC
Employment Type
Full-Time
