Staff Machine Learning Engineer / Scientist jobs in United States
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Ruby Robotics · 3 months ago

Staff Machine Learning Engineer / Scientist

Ruby Robotics is a company focused on maximizing patient outcomes through tissue insights at the point of care. They are seeking a Staff Machine Learning Engineer / Scientist to lead projects that generate medical insights from tumor pathology images, optimizing patient care outcomes through advanced AI and machine learning techniques.

Artificial Intelligence (AI)Robotics
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H1B Sponsor Likelynote

Responsibilities

Independently lead projects to conceive, develop, and implement AI/ML approaches to extract novel insights from large-scale microscopy image data sets
Perform analysis of neural networks, propose and execute experiments to improve key performance metrics
Update and improve primary machine learning models as more data is generated
Support software infrastructure and data engineering required to store, annotate, train, and test on large pathology image sets
Implement semi-supervised and self-supervised methods to reduce image annotation burden
Collaborate with physicians and product teams to ensure clinical relevance, robustness, and usability of models
Shape external collaborations to define research questions, evaluate project feasibility, and deliver impactful solutions
Stay up to date with the latest pathology CV/ML literature, use this to inform research & product direction
Optimize and validate models for integration into production systems, ensuring performance in real-world clinical settings
Develop applications to be deployed and scaled
Support hiring process for additional Ruby CV/ML team members
Work closely with a multidisciplinary engineering team and company leadership to deliver on key technical milestones

Qualification

Deep learningComputer visionMachine learningPythonML frameworksLarge-scale image datasetsModel deploymentResearch implementationAgile methodologyTeam collaboration

Required

PhD or Master's degree in Computer Science or related field with a focus on ML/CV
5+ years of industry experience developing and deploying ML models or 2+ years industry experience with PhD
Previously deployed CV/ML projects to users/customers
Strong background in deep learning for computer vision
Expert knowledge of the latest machine learning approaches for image analysis
Able to read, understand and implement the latest algorithms from research papers
Able to implement and experiment with own architecture ideas
Fluent in Python and experience with ML frameworks and models (Pytorch, Yolo, etc.)
Experience with distributed training and cloud-based ML workflows
Experience with large-scale image datasets, preferably in digital pathology or medical imaging
Experience deploying ML models as real-time APIs with low latency
Works well in a small, agile team

Preferred

Experience with pathology whole-slide images or biomedical image analysis
Familiarity with multimodal data integration (imaging + clinical / molecular data)
Expertise in industrial-scale ML engineering, including model deployment for real-time inference, GPU/throughput optimization (e.g., TensorRT, ONNX Runtime, mixed precision), and building scalable, production-ready ML pipelines with MLOps best practices
Familiarity with containerized deployments (Docker, Kubernetes) and scaling ML systems in production
Experience with CI/CD and MLOps pipelines for automated model deployment and monitoring
Track record of leading CV/ML projects from conception through deployment
Published research in the CV/ML domain

Benefits

Competitive salary
Equity
Comprehensive benefits package

Company

Ruby Robotics

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Ruby Robotics offers vertically integrated robotics and artificial intelligence to make images and assesses tissue during biopsy procedures.

H1B Sponsorship

Ruby Robotics has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)

Funding

Current Stage
Early Stage

Leadership Team

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Jeff Schlosser
Founder & CEO
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Daniel Shen
Founder & President
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Company data provided by crunchbase