CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 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 Hybrid Work Model.
Job Description
POSITION PURPOSE
Creates impact through excellent delivery with guidance, supporting development and implementation phases of Brambles 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 data sets to construct and evaluate ML/AI prototypes
• Deploy computer vision release candidates 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
AUTHORITY / DECISION MAKING
• Computer vision model selection and optimization
• Working autonomously
KEY CONTACTS
Internal: Other computer vision engineers & scientists, Computer Vision Chapter Lead, Project stakeholders
External: Project stakeholders
QUALIFICATIONS
• BS/MS degree in Data Science, Computer Science, Engineering, or related field
• OpenCV proficiency
• Python proficiency
• Pytorch proficiency
• Proficient with devops and MLOps tools such as bitbucket, github, DVC, MLflow, JIRA
• Excellent communication skills
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
• Proficient with creation, indexing, and searching latent space representations of data
EXPERIENCE
• Broad computer vision portfolio including object detection, image classification, action recognition, image segmentation, deduplication, similarity search, and unique identification
• Work autonomously and delivered results on schedule
• Present project work and results to technical and non-technical audience
SKILLS AND KNOWLEDGE
• Knowledge of major computer vision methods and foundation models
• Strong programming skills
• Strong analytical skills
Preferred Education
Bachelors, Masters
Preferred Level of Work Experience
1 - 3 years
Remote Type
Hybrid Remote
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].
