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Remote Image Processing Scientist Jobs in Newark, NJ

Spring Health

Clinical Research Scientist II

New York, NY · Remote

$120K - $140K/yr

This is a full-time position that is fully remote. What you'll do * Publish novel, high impact ... Track and report study progress against key milestones; identify risks or process gaps and escalate ...

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All JobsImage Processing Scientist JobsRemote Image Processing Scientist JobsRemote Image Processing Scientist Jobs in Newark, NJ

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 7, 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.

Staff/Senior Machine Learning Scientist - Forecasting (Open to Remote)

Bertelsmann-Jobs

Manhattan, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Own end-to-end machine learning systems including scoping, feature engineering, model development, validation, deployment, monitoring, and retraining.

  • Create and maintain production-safe evaluation infrastructure such as automated backtests, error decomposition, and data validation.

  • Build AI-assisted workflows to automate repetitive tasks with human review and measurable quality gates.

Job description

Company Description
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.
Job Description
Penguin Random House is the largest trade publishing company in the world. The Data Science team is seeking an experienced Machine Learning Scientist to drive business-critical forecasting products.
We have a mature machine learning practice with strong infrastructure, supported by data warehouse and DevOps partners. We are transitioning to AI-accelerated development and use modern agentic coding tools like Claude Code to speed up how we build and maintain ML systems, with rigorous quality gates including tests, reproducible workflows, and measurable improvements in model performance and reliability. Experience with agentic workflows is a plus, but we prioritize strong fundamentals and the ability to learn new workflows effectively.
This role may be filled at the Senior or Staff level depending on experience and interview performance.
Location: Remote eligible (U.S.), but NYC area preferred.
Specific responsibilities include:
  • Own end-to-end ML systems: scoping, feature engineering, model development, backtesting/validation, deployment (with platform partners), monitoring/alerting, retraining cadence, and ongoing reliability improvements.
  • Create and maintain production-safe evaluation infrastructure: automated backtests, error decomposition, uncertainty quantification, data validation, regression gates, and auditable model/version lineage.
  • Build AI-assisted/agentic development workflows (e.g., Claude Code) to automate repetitive tasks with human review and measurable quality gates.
  • Define success metrics tied to business outcomes; communicate assumptions, limitations, and risk so model outputs are used correctly by stakeholders.
  • Write production-quality, testable code and support reproducible workflows.
  • Partner across functions to translate business needs into a prioritized technical roadmap and measurable impact.
  • Build and improve forecasts across time horizons and business segments (demand, inventory, supply chain, resource allocation), selecting approaches that balance accuracy, stability, interpretability, and operational cost.
  • Productize forecast outputs for stakeholders: clear definitions and assumptions, versioned releases, and reporting that explains what changed, why it changed, and how uncertainty should shape decisions.
  • Feature engineering, uncertainty quantification and calibration, hierarchical/segmented forecasting where appropriate.
  • Partner with operations, supply chain, inventory, finance, and marketing leaders.

Qualifications
Please apply if you meet the following qualifications - Senior level:
  • 5+ years in applied ML/data science, including owning models in production (deployment, monitoring, incident response, retraining)
  • Strong forecasting expertise (time-series methods, feature engineering, rigorous backtesting) OR deep expertise in Bayesian statistical methods and probabilistic programming
  • Strong statistics fundamentals; comfort with probabilistic forecasting and explaining uncertainty in practical terms
  • Strong Python (or R) and SQL; writes production-quality, testable code
  • Strong communication and cross-functional collaboration with non-technical stakeholders
  • Experience using AI-assisted development workflows responsibly (verification loops, reproducibility, automated checks)

Additional expectations - Staff level:
  • 8+ years in applied ML/data science, or PhD with 3+ years of applied experience
  • Experience building ML systems end-to-end (not just models): backtesting frameworks, scheduled retraining, monitoring/alerting, and automated reporting into planning or decision workflows
  • Demonstrated ability to inherit complex systems built by others and make sound architectural decisions with high autonomy
  • Technical leadership: raises the bar on evaluation, reproducibility, and production practices; mentors less-senior team members

Additional Information
Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a Penguin Random House location.
The salary range for the Senior level is $180,000-$220,000. The salary range for the Staff level is $210,000-$250,000. All positions are currently eligible for an annual profit award or bonus, subject to company results.
Applications for this role will be accepted through September 6, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.
Disclosure requirements pertaining to the collection of your personal data:
Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.
The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here.
You can contact the company's Data Protection Officer at the above-mentioned postal address.
Further information on data protection and your rights can be found here.
We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
All your information will be kept confidential according to EEO guidelines.
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