Senior ML Engineer developing and scaling computer vision models for satellite analytics. Involved in the full ML R&D lifecycle in a dynamic startup environment.
About the role
- AI ML Engineer developing and deploying machine learning models for ultrasound imaging systems in healthcare. Contributing to innovations in medical ultrasound products within a fast-paced team.
Responsibilities
- Design and implement AI Features for GE Healthcare's Medical Ultrasound products, ensuring adherence to high standards of quality and performance.
- Author software requirements and design specifications, acting as a feature lead by managing scheduling, estimating efforts, and overseeing implementation.
- Develop and execute unit, integration, and system tests to validate design and implementation throughout development cycles.
- Define data collection plans aligned with regulatory and performance requirements.
- Develop annotation protocols for segmentation and caliper placement based on anatomical and workflow requirements working with Clinical partners.
- Define image stratification categories, pathology/anatomy types, confounders and probe/system metadata to ensure AI model performance across variety.
- Organize, maintain and summarize structured datasets for training, validation, and testing.
- Collaborate with AI Scientists on model architecture decisions by providing key insights.
- Validate data readiness for SSL pretraining and multi-task learning pipelines.
- Integrate AI models into the ultrasound platform.
- Implement pre- and post-processing pipelines for segmentation and measurement inferencing.
- Ensure seamless integration with existing UI/UX workflows.
- Design evaluation strategies for model accuracy, segmentation quality, and measurement error metrics.
- Conduct subgroup analyses and report compliance with CTQs.
- Lead validation studies for cross-system performance.
- Identify technical/Clinical risks and propose mitigation plans.
- Collaborate with project team members using the Agile Scrum methodology to deliver high-quality software solutions.
- Mentor and guide other engineers on the team, promoting the development of high-quality software using static analysis tools, design reviews, and code reviews.
- Lead by example, driving engineering best practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs.
- Analyze design and develop a roadmap and implementation plan based upon a current vs. future state in a cohesive architecture viewpoint.
- Support and drive the team's efforts in continuous improvement by enhancing efficiency, eliminating duplication, and leveraging product and technology reuse.
- Write code that meets established standards and delivers the desired functionality.
- Understand and assess application performance to ensure optimal outcomes.
- Proactively share information across the team, ensuring it reaches the right audience with the appropriate level of detail and timeliness.
Requirements
- Bachelor’s degree in Data Science, Computer Engineering, Computer Science, electrical engineering or related computer degree
- 4 years of experience writing Python and C++ code towards building robust, efficient, scaled-up software systems
- 4+ years of hands-on experience developing Machine Learning/ Deep Learning algorithms using PyTorch/TensorFlow/Keras
- Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns
- Proven hands-on experience in development and implementation of Image Processing/ Computer Vision algorithms
- Strong understanding of optimization techniques to run AI models on GPU
- Strong working knowledge of SQL for data querying
- Ability to take ownership of small and medium sized tasks and deliver while mentoring and helping team members.
- Deep understanding of software reliability, fault detection/isolation, and performance algorithm techniques.
- Experience in developing software according to regulated standards for the Software Development Life Cycle (SDLC) within the Medical Device industry.
- Familiarity with Agile software development practices and software quality systems.
- Experience with Software Configuration Management tools such as Perforce and Git.
- Ability to excel in a fast-paced and dynamic work environment.
- Experience in developing test cases in C++ using a framework.
Benefits
- medical
- dental
- vision
- paid time off
- a 401(k) plan with employee and company contribution opportunities
- life insurance
- disability insurance
- accident insurance
- tuition reimbursement
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