Computer Vision Engineer at Tustin Recruiting Pomona, CA

Tustin Recruiting; Pomona (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Robust professional growth opportunities

Stable work-life balance

Job summary

Itlearn360 is seeking a Computer Vision Engineer to join its dynamic team focused on revolutionizing digital health platforms. This 100% remote position allows you to work from Pomona, CA, while contributing to indispensable healthcare innovations.

The role involves developing and implementing advanced computer vision algorithms, collaborating with teams to enhance healthcare products, and analyzing large datasets. Ideal candidates will have 3-6 years of experience and strong skills in remote collaboration.

Qualifications

• 3–6 years of professional experience in computer vision engineering or related fields.
• Strong communication skills for effective remote collaboration.
• Proficiency with remote work tools and practices.

Responsibilities

• Develop and implement cutting-edge computer vision algorithms and models.
• Collaborate with cross-functional teams to integrate solutions into healthcare products.
• Analyze and process large datasets to derive actionable insights.
• Optimize and deploy models in a cloud environment.
• Stay updated with the latest trends in computer vision and healthcare technology.

Skills

Computer Vision Engineering

Python

TensorFlow

AWS Machine Learning Specialty

Docker

Kubernetes

MLflow

PyTorch

Strong communication skills

Job description

Computer Vision Engineer job at Tustin Recruiting. Pomona, CA.

Overview

Join a dynamic Healthcare Tech company dedicated to revolutionizing digital health platforms, medical software, and healthcare analytics. This is a 100% remote position based in Pomona, CA, offering the opportunity to be part of a forward-thinking team while working from the comfort of your home. We are focused on delivering innovative solutions that enhance patient care and healthcare services. Embrace a remote work culture that promotes virtual collaboration and thrives on the efficiency of distributed team dynamics.

Key Responsibilities

• Develop and implement cutting-edge computer vision algorithms and models.
• Collaborate with cross-functional teams to integrate computer vision solutions into healthcare products.
• Analyze and process large datasets to derive actionable insights for healthcare applications.
• Optimize and deploy models in a cloud environment, ensuring scalability and efficiency.
• Stay updated with the latest trends and advancements in computer vision and healthcare technology.
• Contribute to the architectural design and implementation phases of projects.
• Participate in code reviews and ensure adherence to best practices and quality standards.

Requirements

Experience

• 3‑6 years of professional experience in computer vision engineering or related fields.

Remote Work Requirements

• Strong communication skills for effective remote collaboration.
• Proficiency with remote work tools and practices.
• Self‑motivated and capable of working independently.
• Suitable home office setup with reliable internet connectivity.

Skills & Certifications

• Required Certifications: AWS Machine Learning Specialty, TensorFlow Developer Certificate.
• Preferred Certifications: Google Cloud ML Engineer, TensorFlow Developer Certificate.
• Technology Stack:
  • Proficiency with Scikit‑learn, TensorFlow, Docker, Python, MLflow, Kubernetes, and PyTorch.
• Ability to work seamlessly within a regional team of 10+ members.

Benefits

• Competitive salary and benefits package in the Standard Plus tier.
• Robust professional growth opportunities and access to ongoing training.
• No travel required, ensuring a stable work‑life balance.
• Engage with a vibrant tech community focused on healthcare innovation.
• Be part of a company that’s at the forefront of transforming healthcare through technology.

This role is ideal for someone passionate about leveraging computer vision to drive meaningful change in healthcare. If you’re ready to make an impact from anywhere in the U.S., we invite you to apply and grow with us.