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Remote Vision Scientist Jobs in California (NOW HIRING)

Staff Scientist III

San Ramon, CA · On-site +1

$65K - $85K/yr

This position is remote , but must be local to Santa Rosa, Sacramento, Fresno, San Ramon, or ... Dental * Vision * Life and AD&D Insurance * Short-Term and Long-Term Disability * 401(k) with ...

Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ... Physical Requirements Subject to extended periods of sitting and/or standing, vision to monitor and ...

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... What you'll bring Required * BS or MS in Computer Science, Electrical Engineering, Robotics, or a ...

Showing results 21-40

Remote Vision Scientist information

What is the difference between Remote Vision Scientist vs Remote Optometrist?

AspectRemote Vision ScientistRemote Optometrist
CredentialsAdvanced degrees in vision science or related fields, research experienceDoctor of Optometry (OD) license, clinical training
Work EnvironmentResearch labs, academic institutions, industry R&DTelehealth platforms, patient consultation settings
Industry UsageResearch, product development, academiaPatient care, vision testing, prescriptions

Remote Vision Scientists focus on research and development in vision science, often working in labs or industry settings. Remote Optometrists provide clinical eye care services via telehealth. While both roles require knowledge of vision health, their work environments and credentials differ significantly.

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

The most popular types of Vision Scientist jobs in California are:

What cities in California are hiring for Remote Vision Scientist jobs?

Cities in California with the most Remote Vision Scientist job openings:

Infographic showing various Remote Vision Scientist job openings in California as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.

ML Scientist - Adversarial Robustness

Mercor

San Francisco, CA • Remote

$100 - $120/hr

Full-time

Posted 5 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Type: Contract
Compensation: $100–$120/hour
Location: Remote

Role Responsibilities

  • Train image classifiers and generative image models from scratch. Fine-tune open-weight language models.
  • Optimize models for limited data, compute, and model-size budgets.
  • Enhance model robustness against adversarial inputs and conversations.
  • Compress models to meet size and latency constraints without losing accuracy.
  • Diagnose and resolve training issues to improve model performance.

Qualifications

Must-Have

  • 3+ years of machine learning research experience (PhD research counts).
  • Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
  • Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions.

Preferred

  • Experience with Adversarial Robustness and Efficient Computer Vision.
  • Knowledge in Generative Image Modeling and LLM Post-Training & Behavioral Robustness.
  • Experience in Multilingual Pre-training and additional areas like scaling laws and curriculum learning.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.