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Remote Triton Technologies Jobs (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML ... We're creating first-of-its-kind technology that will transform transportation. To do so ...

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 breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a ...

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site +1

$144K - $192K/yr

Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML ... We're creating first-of-its-kind technology that will transform transportation. To do so ...

Rockstar

Senior AI Engineer

$107K - $146K/yr

... and remote team mean we can move fast while still delivering top-notch technology and design ... Experience with model-serving platforms such as vLLM, BentoML, Triton, Ray Serve, or similar ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML ... We're creating first-of-its-kind technology that will transform transportation. To do so ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with distributed data processing and streaming technologies (Apache Spark, Kafka, Flink)

Nvidia

NCX Senior Engineer

$107K - $146K/yr

Act as the main technical contact for strategic NCPs, offer remote and on-site support ... NeMo, Triton, NIM, and NVIDIA networking technologies such as InfiniBand and RoCE. * Direct ...

Weave

Senior ML - GenAI Engineer, Voice & Speech

$125K - $165K/yr

... technologies, at scale. We handle data for hundreds of millions of people daily ... This position will be available for fully remote in the US with an opportunity to work in an office ...

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Remote Triton Technologies information

What is the difference between Remote Triton Technologies vs Remote Triton Technologies Network Technician?

AspectRemote Triton TechnologiesRemote Triton Technologies Network Technician
Required CredentialsIT certifications, such as CompTIA A+ or Network+Same certifications, often with additional Cisco or Cisco CCNA
Work EnvironmentRemote, client sites, or data centersPrimarily remote with on-site troubleshooting
Employer & Industry UsageIT service providers, tech companiesNetwork support roles within same industries
Common Search & ComparisonYesYes

Remote Triton Technologies and Remote Triton Technologies Network Technician roles share similar credentials and work environments, often overlapping in IT service and support industries. The main difference lies in the Network Technician's focus on network infrastructure and troubleshooting, sometimes requiring additional Cisco certifications. Both roles are frequently searched together by candidates seeking remote IT support positions within the same industry sectors.

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Infographic showing various Remote Triton Technologies job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Re-posted 24 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.