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Remote Tissue Engineer Jobs (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for ...

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 ... Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for ...

Kargo

Network Security Engineer

San Francisco, CA · On-site +1

$123K - $168K/yr

At Kargo, our mission is to build a connective tissue between the physical world of freight and the ... Configure and maintain firewalls, VPNs, network segmentation, NAC, and secure remote access ...

PICTOR LABS INC

$89K - $123K/yr

Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for ... Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ...

Profound Medical

Field Service Engineer

Newark, NJ · Remote

... tissue with precision; a tomorrow where patients have access to safe and effective treatment ... and remote assistance * When required, enter parts orders, generate and follow-up parts quotes

Siena AI

Solutions Engineer - Remote

... tissue across Sales, Engineering, Product, and CS -- triaging customer issues, filing well-scoped Linear tickets, and escalating to the right owner. • Act as the field-to-product feedback conduit ...

Siena AI

Solutions Engineer - Remote

... tissue across Sales, Engineering, Product, and CS -- triaging customer issues, filing well-scoped Linear tickets, and escalating to the right owner. • Act as the field-to-product feedback conduit ...

Siena AI

Solutions Engineer - Remote

... tissue across Sales, Engineering, Product, and CS -- triaging customer issues, filing well-scoped Linear tickets, and escalating to the right owner. • Act as the field-to-product feedback conduit ...

Siena AI

Solutions Engineer - Remote

... tissue across Sales, Engineering, Product, and CS -- triaging customer issues, filing well-scoped Linear tickets, and escalating to the right owner. • Act as the field-to-product feedback conduit ...

Siena AI

Solutions Engineer - Remote

... tissue across Sales, Engineering, Product, and CS -- triaging customer issues, filing well-scoped Linear tickets, and escalating to the right owner. • Act as the field-to-product feedback conduit ...

Firecrawl

Sales Engineer

San Francisco, CA · On-site +1

$120K - $250K/yr

N/A for Remote About Firecrawl Firecrawl is the easiest way to extract data from the web ... You're the connective tissue between what customers need and what gets built. Backgrounds that ...

Siena AI

Solutions Engineer - Remote

... tissue across Sales, Engineering, Product, and CS -- triaging customer issues, filing well-scoped Linear tickets, and escalating to the right owner. • Act as the field-to-product feedback conduit ...

Siena AI

Solutions Engineer - Remote

... tissue across Sales, Engineering, Product, and CS -- triaging customer issues, filing well-scoped Linear tickets, and escalating to the right owner. • Act as the field-to-product feedback conduit ...

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Showing results 1-20

All JobsRemote Tissue Engineer Jobs

Remote Tissue Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote tissue engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for remote tissue engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Tissue Engineer vs Remote Biomedical Research Associate?

AspectRemote Tissue EngineerRemote Biomedical Research Associate
Required CredentialsBachelor's or Master's in Biomedical Engineering, Tissue Engineering, or related fieldBachelor's or Master's in Biology, Biomedical Science, or related field
Work EnvironmentLaboratory settings, research facilities, or remote data analysisResearch labs, clinical settings, or remote data collection and analysis
Employer & Industry UsageBiotech companies, research institutions, regenerative medicine firms
Common Search & Comparison IntentUnderstanding roles, skills, and job differences in tissue engineering

Remote Tissue Engineers focus on designing and developing tissue constructs, often requiring engineering skills and lab work, while Remote Biomedical Research Associates support research projects through data collection and analysis. Both roles are vital in biomedical fields but differ in technical focus and daily tasks.

More about Remote Tissue Engineer jobs
What cities are hiring for Remote Tissue Engineer jobs? Cities with the most Remote Tissue Engineer job openings:
What are the most commonly searched types of Tissue Engineer jobs? The most popular types of Tissue Engineer jobs are:
What states have the most Remote Tissue Engineer jobs? States with the most job openings for Remote Tissue Engineer jobs include:
What job categories do people searching Remote Tissue Engineer jobs look for? The top searched job categories for Remote Tissue Engineer jobs are:
Remote Tissue Engineer jobs near you
Infographic showing various Remote Tissue Engineer job openings in the United States as of June 2026, with employment types broken down into 43% Full Time, 14% Part Time, and 43% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Senior Machine Learning Engineer

Career Renew

New York, NY • Remote

$165K - $225K/yr

Full-time

Posted 6 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.