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Remote Computer Vision Postdoc Jobs in Chicago, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · Remote

$130K - $140K/yr

... computer vision, perception, simulation, and mapping products. This person will own the pipelines ... LI-REMOTE Who are we? HERE Technologies is a location data and technology platform company. We ...

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ONETRACK.AI

Sales - Build Your Own Role

Chicago, IL · On-site +1

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to ... PTO and Flexible working hours and remote work options * Opportunities for professional growth and ...

JLL

CAFM CAD Analyst

Chicago, IL · On-site +1

$20 - $27.50/hr

... creating vision, energizing teams Additional Attributes * Dynamic and technologically savvy ... Remote -Atlanta, GA, Austin, TX, Chicago, IL, Columbus, OH, Coral Gables, FL, Dallas, TX, ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · Remote

$130K - $140K/yr

... learning, computer vision, or multimodal AI. Nice To Have- Experience with traffic behavior ... LI-REMOTE Who are we? HERE Technologies is a location data and technology platform company. We ...

New

ONETRACK.AI

Senior Account Executive

Chicago, IL · Remote

$150/hr

Every team member is laser-focused on growing the value of our scalable computer vision platform ... Flexible working hours and remote work options * Opportunities for professional growth and ...

Allied

Remote Healthcare Appeals Specialist

Chicago, IL · On-site +1

$20 - $21/hr

This is a standard desk role - long periods of sitting and working on a computer are required. WORK ... Vision, Life & Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a ...

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Bright Vision Technologies

AI Data Engineer

Buffalo Grove, IL · Remote

$117K - $141K/yr

... Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW ... Bachelor's or Master's degree in Computer Science or a related field. * Six or more years of data ...

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Remote Computer Vision Postdoc information

What are some common challenges faced by remote Computer Vision Postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges related to collaboration and access to computational resources. Since much of the work involves large datasets and high-performance computing, ensuring secure and efficient remote access to servers and data is crucial. Effective communication with mentors and team members, often across different time zones, requires proficiency with collaboration tools and proactive scheduling. To address these challenges, it can be helpful to establish regular check-ins, document workflows clearly, and leverage cloud-based platforms for data processing and code sharing.

What is a Remote Computer Vision Postdoc?

A Remote Computer Vision Postdoc is a research position for individuals who have recently completed their Ph.D. and are specializing in the field of computer vision, all while working remotely. These postdoctoral researchers typically conduct advanced studies on topics such as image recognition, object detection, and machine learning algorithms, often collaborating with academic institutions or industry labs. The remote aspect allows for flexible work locations, making it possible to join international teams and contribute to projects from anywhere in the world. This role often emphasizes publishing research, developing prototypes, and contributing to open-source projects.

What are the key skills and qualifications needed to thrive as a Remote Computer Vision Postdoc, and why are they important?

To thrive as a Remote Computer Vision Postdoc, you need a solid background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Proficiency with deep learning frameworks (such as TensorFlow or PyTorch), coding languages like Python or C++, and experience with large-scale data processing are essential. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, research-driven environments. These competencies ensure you can independently advance research objectives, contribute innovative solutions, and work efficiently with distributed teams.
What are popular job titles related to Remote Computer Vision Postdoc jobs in Chicago, IL? For Remote Computer Vision Postdoc jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Postdoc jobs in Chicago, IL look for? The top searched job categories for Remote Computer Vision Postdoc jobs in Chicago, IL are:
Remote Computer Vision Postdoc jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Re-posted 19 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.