Computer Vision Engineer

Job Description

About the Role

Title: Computer Vision Engineer – Santa Clara, CA (Hybrid)

Location: Santa Clara, CA,  United States

Full time

job requisition id: JR20017

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 Hybrid 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 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 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:

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 Type

Hybrid Remote

Skills to succeed in the role

Active 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.