Computer Vision Engineer

Posted 2 Days Ago
Be an Early Applicant
United Kingdom
Junior
Logistics • Other
The Role
The Computer Vision Engineer will support the development and implementation phases of computer vision projects, using large datasets to evaluate AI prototypes and deploying models on edge systems. Responsibilities include data collection, model optimization, and monitoring production systems while contributing to team discussions on computer vision techniques.
Summary Generated by Built In

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].

Top Skills

C/C++
Go
Python
The Company
6,172 Employees
On-site Workplace
Year Founded: 1945

What We Do

CHEP is a global leader in managed, returnable and reusable packaging solutions, serving many of the world's largest companies in sectors such as consumer goods, fresh produce, beverage and automotive. CHEP’s service is environmentally sustainable and increases efficiency for customers while reducing operating risk and product damage. CHEP’s 7,500-plus employees and 300 million pallets and containers offer unbeatable coverage and exceptional value, supporting more than 500,000 customer touch-points in 49 countries. Our customer portfolio includes global companies and brands such as Procter & Gamble, Sysco, Kellogg's, Kraft, Nestlé, Ford and GM. CHEP is part of Brambles Limited. For more information, visit www.chep.com.

Reliability. Flexibility. The success of your business depends on both. With CHEP, you can be confident that you’ll get the equipment you need, when and where you need it. Our scale is unmatched, with more than 110 million pallets and over 530 service centers across North America. So you no longer need to worry about seasonal peaks or unexpectedly high demand.

With our broad array of solutions and our pragmatic, roll-up-your-sleeves know-how, we give our consumer goods customers the platforms, the quality, the supply and the support they need to make more money on every unit load. Because everything just works better.

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