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Remote Image Processing Scientist Jobs in California

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Experience with source control tools such as GitHub and related CI/CD processes * Experience ...

Soccer Data Scientist

San Francisco, CA ยท On-site +1

$130K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Experience with source control tools such as GitHub and related CI/CD processes * Experience ...

In-depth knowledge of modern tools and pipelines for processing, aligning, and analyzing multimodal ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Frontend Engineer - Endless Commerce

Los Angeles, CA ยท On-site +1

$132K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong level of engagement and communication and collaboration skills, especially with remote teams. Nice-to-haves: * Experience with RailsJS or Ruby on Rails. * Familiarity with image processing ...

Senior AI Scientist

Palo Alto, CA ยท On-site +1

$107K - $146K/yr

Ability to quickly learn new concepts and apply to research and development process in an iterative ... Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science ... Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your ...

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Interview Process * Complete a short interview and task ( 20-30 mins ). Paid onboarding time ...

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS ... As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ...

Data Scientist

San Francisco, CA ยท Remote

$165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... process your personal information, and your data protection rights.

Showing results 21-40

Remote Image Processing Scientist information

What is a remote image processing scientist?

A Remote Image Processing Scientist is a professional who specializes in analyzing and interpreting images using advanced computational techniques, often working from a remote location. They process and enhance digital images, such as satellite photos, medical scans, or photographs, using algorithms and software tools. Their work may involve developing new image analysis methods, improving image quality, and extracting meaningful data for various applications like remote sensing, healthcare, or security. Remote Image Processing Scientists typically have backgrounds in computer science, engineering, or related fields, and are skilled in programming, mathematics, and data analysis.

What are some common challenges faced by remote image processing scientists when collaborating with cross-functional teams?

Remote Image Processing Scientists often work with diverse teams, including software engineers, data scientists, and project managers. A common challenge is ensuring clear communication of complex technical concepts, especially when team members have varying levels of expertise in image processing. Additionally, aligning on project goals and integrating image processing workflows with broader system architectures can require extra coordination in a remote setting. Proactively scheduling regular meetings and using collaborative tools can help bridge these gaps and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a remote image processing scientist, and why are they important?

To thrive as a Remote Image Processing Scientist, you need a solid background in computer vision, image analysis, and strong programming skills, generally supported by a degree in computer science, electrical engineering, or a related field. Expertise in tools such as Python, MATLAB, OpenCV, and familiarity with machine learning frameworks and cloud computing platforms is typically required. Strong problem-solving abilities, self-motivation, and effective communication are important soft skills, especially when working in remote or distributed teams. These skills ensure the development of robust image processing solutions, efficient collaboration, and the ability to adapt to evolving project requirements.

What is the difference between Remote Image Processing Scientist vs Remote Computer Vision Engineer?

AspectRemote Image Processing ScientistRemote Computer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithmsBachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries
Work EnvironmentResearch-focused, often in R&D teams, developing new image processing techniquesDevelopment-focused, implementing and deploying computer vision models in products
Employer & Industry UsageTech companies, research labs, healthcare, automotiveTech firms, autonomous vehicles, robotics, security systems

While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.

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

The most popular types of Image Processing Scientist jobs in California are:

What are popular job titles related to Remote Image Processing Scientist jobs in California?

For Remote Image Processing Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Image Processing Scientist jobs in California look for?

The top searched job categories for Remote Image Processing Scientist jobs in California are:

What cities in California are hiring for Remote Image Processing Scientist jobs?

Cities in California with the most Remote Image Processing Scientist job openings:

Infographic showing various Remote Image Processing Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

NFL Data Scientist

Swish Analytics

San Francisco, CA โ€ข On-site, Remote

$140K/yr

Full-time

Re-posted 15 days ago


Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote