Principal Computer Vision Engineer - Santa Clara, CA (Hybrid)

BXB Digital, A Brambles Company; Santa Clara (CA); Hybrid; USD 200,000 - 220,000; Full time

Job summary

A leading company in sustainable logistics seeks a Principal Computer Vision Engineer in Santa Clara to lead innovative projects in computer vision and machine learning. The role involves research, model optimization, and collaboration with internal teams to advance product capabilities. Competitive salary and benefits are offered for experienced candidates ready to take on significant challenges in a dynamic environment.

Benefits

Medical insurance

Vision insurance

401(k)

Tuition assistance

Child care support

Qualifications

• PhD in a relevant field required.
• 5+ years of experience in computer vision research and development.
• Expertise in AI and deep learning techniques.

Responsibilities

• Lead computer vision projects from research to deployment.
• Optimize models for edge systems and monitor production ML systems.
• Evaluate performance and propose improvements.

Skills

Computer Vision

AI

Deep Learning

Machine Learning

Optimization

Data Analysis

Education

PhD in Computer Vision, Computer Science or related field

Tools

OpenCV

Pytorch

TensorRT

Tensorflow

MLflow

Job description

Principal Computer Vision Engineer - Santa Clara, CA (Hybrid)

Join to apply for the Principal Computer Vision Engineer - Santa Clara, CA (Hybrid) role at BXB Digital, A Brambles Company

Principal Computer Vision Engineer - Santa Clara, CA (Hybrid)

Join to apply for the Principal Computer Vision Engineer - Santa Clara, CA (Hybrid) role at BXB Digital, A Brambles Company

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BXB Digital, A Brambles Company provided pay range

This range is provided by BXB Digital, A Brambles Company. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $220,000.00/yr

Direct message the job poster from BXB Digital, A Brambles Company

Brambles companies, including BXB Digital and CHEP, help move more goods to more people, in more places than any other organisation on earth. Our 350+ million pallets, crates and containers are continuously in motion, forming the invisible backbone of the global supply chain and the world’s biggest brands trust us to help them transport their goods more efficiently, sustainably, and safely. We want to ensure we play our part in stopping climate change.

As pioneers of the sharing economy, Brambles created one of the world's most sustainable logistics businesses through the share and reuse of its platforms. To enable us to do this, we need to digitize what we do.

Moving so many pallets to so many customers generates a lot of data – over 2 billion rows and counting. We need to utilize modern methods to capture and analyse data, ensuring that we can track where our pallets are, what they’re being used for and ensuring they return to the pool to be reused in the future. We need to ensure what we build not only works for the now, but for the future as well.

PRINCIPAL COMPUTER VISION ENGINEER

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 state-of-the-art 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 resource-constrained edge systems

• Monitor and fine-tune 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 re-id (reidentification) or unique identification of objects

• Proficient with creation, indexing, and searching embeddings, latent space, and vector representations of data

• 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 MLOps tools such as bitbucket/git, DVC, MLflow, JIRA, jupyter, docker

Desirable Qualifications:

• Proficient with multi-node, multi-GPU 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

• Multi-tasking and strong analytical skills

The salary range for this position is $200,000 to $220,000 / year. Salary ranges provided take into account a wide variety of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications, geographic differentials and other business and organizational needs. Therefore, actual amounts offered may be higher or lower than the range provided. If you have questions, please speak to your Talent Acquisition Partner about the flexibility and detail of our compensation philosophy.” Dependent on the position offered, other forms of compensation may be part of a total offering beyond medical & retirement benefits and may include other monetary incentives or business benefits.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Computer Hardware Manufacturing, Software Development, and IT System Custom Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Tuition assistance

Child care support

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