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Remote Image Processing Scientist Jobs in Newark, NJ

eigenblue

(Senior) AI Scientist (m/f/d)

New York, NY · On-site +1

$150K - $300K/yr

Annual Performance and Progression process, where we review your package and make performance-based ... Remote position with WeWork day-pass access and a travel budget to meet your colleagues in our HQ ...

Danaher

Channel Sales Manager

Newark, NJ · Remote

$159K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... Our advanced microscopes and AI-based image analysis solutions enable users to gain profound ...

Near Space Labs

General Interest Application

New York, NY · On-site +1

At Near Space Labs we design, build and operate a fleet of stratospheric robots to image the earth ... Locations Brooklyn, NY / US (remote) Barcelona, Spain / EU nationals or work permit holders General ...

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Remote Image Processing Scientist information

See Newark, NJ salary details

$87.3K

$132.8K

$178.8K

How much do remote image processing scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote image processing scientist in Newark, NJ is $132,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $150,100.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Image Processing Scientist jobs in Newark, NJ?

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

What job categories do people searching Remote Image Processing Scientist jobs in Newark, NJ look for?

The top searched job categories for Remote Image Processing Scientist jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Remote Image Processing Scientist jobs?

Cities near Newark, NJ with the most Remote Image Processing Scientist job openings:

Remote Image Processing Scientist jobs near you
Infographic showing various Remote Image Processing Scientist job openings in Newark, NJ as of August 2026, with employment types broken down into 3% Internship, 73% Full Time, 14% Part Time, and 10% Contract. Highlights an 22% In-person, 2% Hybrid, and 76% Remote job distribution, with an average salary of $132,840 per year, or $63.9 per hour.

Lead Machine Learning Scientist, New AI Products and Platforms

The New York Times

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Key responsibilities

  • Lead the design and training of embedding models for representation learning, including transformer encoders and Two Tower architectures.

  • Lead the fine-tuning, adaptation, and evaluation of language models for custom product use cases and content enrichment, including information extraction from Times content at scale.

  • Productionalize embedding models and language models by working closely with engineering teams to integrate ML and AI into user-facing products.

Job description

About the Role, Mission or Department Overview

The New York Times is hiring a Lead Machine Learning Scientist to join the New A.I. Products & Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.

You will provide technical leadership to a team of ML scientists developing embedding models and semantic retrieval algorithms to power new A.I. experiences across our products. Your work will allow teams across the company to build, deploy, and manage applications that use large language models to promote our journalism and our business. Your team will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.

Responsibilities:

  • You will lead the design and training of embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
  • You will lead the fine-tuning, adaptation, and evaluation of language models for custom product use cases and content enrichment, including information extraction from Times content at scale
  • You will productionalize embedding models and language models while working closely with engineering teams, to integrate ML and AI into user-facing products throughout The Times
  • You will help to define shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important
  • You will identify novel project opportunities to solve critical problems and act on those proposals
  • You will scope ongoing product improvements, prioritizing requests from your team
  • You will build and facilitate relationships across the organization to ensure you meet our projects' goals.
  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD plus 4+ years experience, or 7+ years experience, in machine learning, statistics, computer science, computational social science, or another quantitative/computational discipline
  • 4+ years of experience in creatively reframing our challenges as Machine Learning tasks
  • 4+ years of experience with data cleaning, preparation, feature engineering, and model selection techniques
  • 2+ years of experience coding and deploying in production environments using Python, developing and deploying complex algorithms that are integrated into company process
  • 2+ years of experience building production systems that use LLMs, vision-language models, graph neural networks, or other deep learning models to solve user-facing problems
  • 1+ years of experience mentoring peers or junior ML scientists through pairing and algorithm, model, and code review

Preferred Qualifications:

  • PhD or Master's research experience in Applied AI
  • 1+ years of experience with information retrieval or search systems
  • 2+ years of experience collaborating cross-functionally with product managers and software engineers
  • 2+ years of experience scoping and staging work into well-defined milestones and delivering on communicated timelines

REQ-020336

Compensation and Benefits For This Role:

In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. 

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