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Remote Image Processing Engineer Jobs in New York

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Experience with multi-modal models (text, image, audio) * Background in NLP, ML, or Data Science

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... Civil Engineering , Materials Science , or another STEM discipline. * 3+ years of research ... Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your ...

CoreWeave

Systems Engineer, VDI Platform

Livingston, NJ · Remote

This role owns that expansion as the sole DRI for the Next Gen VDI platform: the remote-compute ... Own the Ubuntu LTS and Windows 11 base image pipelines--code-defined builds (Packer or equivalent ...

New

CoreWeave

Systems Engineer, VDI Platform

New York, NY · Remote

This role owns that expansion as the sole DRI for the Next Gen VDI platform: the remote-compute ... Own the Ubuntu LTS and Windows 11 base image pipelines--code-defined builds (Packer or equivalent ...

New

Zenlaw

Full-Stack Engineer (Remote)

New York, NY · On-site +1

Python (machine learning, Natural Language Processing, string manipulation) You care about ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Implement automated tests, logging, and alerting for data processes. * Provide data engineering ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Evaluation, maintenance, and enhancement of existing ETL processes. * Creation of BI dashboards and ...

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All JobsImage Processing Engineer JobsRemote Image Processing Engineer JobsRemote Image Processing Engineer Jobs in New York

Remote Image Processing Engineer information

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

AspectRemote Image Processing EngineerRemote Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with image processing librariesBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with computer vision frameworks
Work EnvironmentRemote, often in tech or AI companies focusing on image analysisRemote, typically in AI, robotics, or autonomous systems industries
Employer & Industry UsageTech companies, startups, research labs working on image enhancement, medical imagingTech firms, autonomous vehicle companies, surveillance, robotics

Remote Image Processing Engineers focus on developing algorithms for analyzing and enhancing images, while Remote Computer Vision Engineers work on enabling machines to interpret visual data. Both roles require similar technical skills and often overlap, but the Computer Vision role emphasizes understanding and modeling visual information for AI applications.

What are Remote Image Processing Engineers?

Remote Image Processing Engineers are professionals who design, develop, and implement algorithms and software to analyze, enhance, and manipulate digital images, all while working from a remote location. They often use programming languages like Python, C++, or MATLAB and leverage libraries such as OpenCV or TensorFlow. Their work may involve tasks like object detection, image classification, or medical image analysis. These engineers collaborate with cross-functional teams and ensure that image data is processed efficiently and accurately, often for applications in fields like healthcare, robotics, or entertainment.

What are the key skills and qualifications needed to thrive as a Remote Image Processing Engineer, and why are they important?

To thrive as a Remote Image Processing Engineer, you need a strong background in computer vision, image analysis, and programming languages such as Python or C++, often supported by a degree in computer science or a related field. Familiarity with libraries and frameworks like OpenCV, TensorFlow, and MATLAB, along with experience using version control systems like Git, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help set candidates apart. These skills are crucial for developing robust image processing solutions, collaborating efficiently with distributed teams, and meeting project goals in a remote work environment.

How does a Remote Image Processing Engineer typically collaborate with cross-functional teams while working offsite?

Remote Image Processing Engineers often collaborate with data scientists, software developers, and product managers through virtual meetings, code review platforms, and shared documentation. Effective communication and clear documentation are crucial to ensure alignment on project goals, processing algorithms, and integration tasks. Most teams utilize agile methodologies and tools like Slack, Jira, and GitHub to coordinate work and provide timely feedback, making it essential for remote engineers to be proactive and responsive. This collaborative structure helps maintain project momentum despite geographic separation.
What are popular job titles related to Remote Image Processing Engineer jobs in New York? For Remote Image Processing Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Image Processing Engineer jobs in New York look for? The top searched job categories for Remote Image Processing Engineer jobs in New York are:
What cities in New York are hiring for Remote Image Processing Engineer jobs? Cities in New York with the most Remote Image Processing Engineer job openings:
Remote Image Processing Engineer jobs near you

Senior Machine Learning Engineer

Career Renew

New York, NY • Remote

$165K - $225K/yr

Full-time

Re-posted 21 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.