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Flexible Computer Vision Postdoc Jobs in California

Matroid

Vision Application Technician

Palo Alto, CA · On-site

A flexible schedule that leaves time for all of your other interests. * Resources to learn about the cutting edge of software engineering and computer vision. * You'll be working at our new office in ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

A flexible schedule that leaves time for all of your other interests. * Resources to learn about the cutting edge of software engineering and computer vision. * You'll be working at our new office in ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

A flexible schedule that leaves time for all of your other interests. * Resources to learn about the cutting edge of software engineering and computer vision. * You'll be working at our new office in ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

A flexible schedule that leaves time for all of your other interests. * Resources to learn about the cutting edge of software engineering and computer vision. * You'll be working at our new office in ...

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

Develop and integrate computer vision and ML-based algorithms into the perception stack * Work with ... Flexible vacation and time-off policy * Collaborative, fast-paced, and inclusive work environment

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Flexible Computer Vision Postdoc information

What is the difference between Flexible Computer Vision Postdoc vs Computer Vision Research Scientist?

AspectFlexible Computer Vision PostdocComputer Vision Research Scientist
Required credentialsPhD in Computer Science, Electrical Engineering, or related fieldMaster's or PhD in similar fields, with research experience
Work environmentAcademic or research institutions, project-basedIndustry labs, tech companies, product-focused
Employer and industry usageUniversities, research institutes, grantsTech companies, startups, R&D divisions
Common search and comparison intentUnderstanding academic vs industry roles in computer visionCareer progression, job responsibilities, industry expectations

The Flexible Computer Vision Postdoc typically involves academic research, focusing on advancing theoretical and experimental knowledge in computer vision. In contrast, a Computer Vision Research Scientist works within industry settings, applying research to develop products and solutions. Both roles require strong research credentials, but their work environments and objectives differ significantly.

What are the most commonly searched types of Computer Vision Postdoc jobs in California?

The most popular types of Computer Vision Postdoc jobs in California are:

What are popular job titles related to Flexible Computer Vision Postdoc jobs in California?

For Flexible Computer Vision Postdoc jobs in California, the most frequently searched job titles are:

What job categories do people searching Flexible Computer Vision Postdoc jobs in California look for?

The top searched job categories for Flexible Computer Vision Postdoc jobs in California are:

What cities in California are hiring for Flexible Computer Vision Postdoc jobs?

Cities in California with the most Flexible Computer Vision Postdoc job openings:

Flexible Computer Vision Postdoc jobs near you
Infographic showing various Flexible Computer Vision Postdoc job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Member of the Technical Staff, Computer Vision Model Training

Palo Alto, CA • On-site

Conquest Technologies Corporation
IT Services • 51 - 200 employees
Learn more about Conquest Technologies Corporationexternal

Full-time

Re-posted 2 days ago

Job description

We are seeking a top-tier AI Scientist / Engineer to join our "Mars-shot" AI startup that aims to reinvent cancer therapy. This unique role offers the opportunity to contribute to groundbreaking advancements in oncology and beyond by combining theoretical physics thinking and cutting edge deep learning methodology to generate and learn from biological data at scale.
Responsibilities
  • Develop novel approaches and train models for prediction of perturbation-response in a complex, high-dimensional dynamical system
  • Co-design data-for-models experimental campaign at scale on robotic platform
  • Wrangle/stand up/leverage large structured data sets and foundational models for biology from public domain
  • Oversee data infrastructure across pipeline from software development environment to wet lab
Requirements
  • In office 5 days a week
  • MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science, or a related field.
  • Expertise in classic ML and statistics, deep learning, Gaussian processes, transformers+self attention
  • Zeal for best practices in group development and coding to production
  • Past experience working with biological data a plus
Tech Stack
  • Python
  • PyTorch
  • TensorFlow
  • NumPy
  • Pandas

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