Salary and eligible variable compensation (if any) commensurate with experience. Range $26.00/hr - $31.50/hr and includes a comprehensive benefits package.
Responsibilities
Provides technical guidance and mentoring to junior staff
Assists project leads with workload planning and technical reviews
Serves as a subject matter resource for LiDAR processing workflows
Collaborates with project managers, survey teams, and engineering groups
Assists with production planning, scheduling, and resource coordination
We seek an analytical and technically mature Software Engineer III to bridge the gap between high-level mathematical research and production-grade code, deploying 3D computer vision pipelines onto manufacturing floors.
Locations (2)
Dexter, Michigan, United States
Ann Arbor, Michigan, United States
Compensation
competitive salary + Eligibility for Profit Sharing Program Participation (pending successful completion of probationary period and based on business performance).
Responsibilities
Algorithmic Design & Validation: Formulate, implement, and validate advanced 2D and 3D computer vision pipelines from mathematical first principles.
Transitioning Lab to Field: Port, optimize, and deploy production-quality code that interfaces with physical depth sensors, ensuring real-time control loops remain deterministic and lag-free.
Strategic R&D Decision Making: Evaluate system architectures to intelligently determine when to leverage classical image processing workflows versus modern deep learning models to eliminate operational latencies.
Lead the development of reproducible pipelines for medical image processing, AI modeling, and multimodal integration with clinical data.
Compensation
$120,000—$130,000 USD
Responsibilities
Build and maintain Python pipelines for large medical imaging collections
Develop, apply, and evaluate AI models for segmentation, classification, and embeddings
Apply traditional image analysis methods for registration, normalization, and feature extraction
Build and evaluate multimodal models combining imaging with clinical data
Integrate clinical data models and vocabularies to link imaging results with patient records
Requirements
Master's degree or PhD in biomedical engineering, computer science, data science, medical physics, electrical engineering, or a related quantitative field
Mechanical Engineer to support customers in the EU market, leading regional projects focused on connecting machinery to the cloud and delivering high-quality wind turbine health monitoring services.
Responsibilities
Provide an excellent wind turbine condition health monitoring service to customers in our EU region
Monitor asset performance using fleetMONITOR software and report on alarms and asset health
Support the new customer onboarding process, contributing to the effective mobilisation of services to new customers
Identify opportunities to provide added-value services to customers around performance such as consulting and training
Ensure that the health monitoring service provided to our customers is of the highest possible quality standard
Requirements
Undergraduate degree in relevant STEM subject (e.g. Mechanical Engineering, Industrial Engineering, Aeronautical Engineering, Mathematics, or Physics)
Support existing customers at Wright-Patterson Air Force Base in developing and optimizing computer vision and image processing algorithms for remote sensing imagery.
Locations (2)
Beavercreek, Ohio, United States
Wright-Patterson Air Force Base, Ohio, United States
Responsibilities
Develop and optimize computer vision and image processing algorithms
Accelerate computationally intensive algorithms using NVIDIA CUDA and GPU computing
Translate research algorithms into efficient, reliable, and maintainable software
Implement algorithms for object detection, segmentation, tracking, image registration, or feature extraction
Develop GPU-accelerated algorithms using NVIDIA CUDA
Requirements
Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, or related discipline
Nice to have: Master of Science in Computer Science, Electrical Engineering, Applied Mathematics, or related discipline
The Sr Data Scientist will work in a cross functional team to independently develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace, with minimal guidance from senior team members, to deliver business outcomes.
Responsibilities
Understand business problems & processes and develop & implement data science models, including artificial intelligence and machine learning.
Work alongside data scientists, data engineers, software developers, program managers, product owners, and functional stakeholders to translate algorithms into viable products and services.
Work in technical teams in development, deployment, and application of artificial intelligence, machine learning, applied analytics, predictive analytics, and prescriptive analytics ensuring data quality and integrity throughout the data pipeline.
Perform exploratory and targeted data analysis using descriptive statistics and other methods (including collecting, preprocessing, and analyzing large datasets to be used for training and testing machine learning models).
Understand various business & functional processes pertaining to Analytics Development Process.
Technical Ownership & Code Quality: Champion software development best practices by leading meticulous peer code reviews, refactoring legacy components, and managing complex multi-codebase integrations.
Hands-on Validation: Collaboratively troubleshoot and fine-tune your vision pipelines live on physical hardware and prototype configurations.
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