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Job Description Summary

About GE Aerospace

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!

Working at our Grand Rapids Facility

For more than 15 years our manufacturing facilities in Grand Rapids have helped fuel the growth and success of GE Aerospace. We’re producing high quality electronics and avionics parts and equipment to exacting standards. Including Avionics Computing Systems, Mission System, Navigation and Guidance and Vehicle Health & Data Management products. We’re the career home for union and non-union employees who seek purpose and challenge in their careers. People just like you.

To apply for this position, you need to be a U.S. citizen and have or be able to obtain a U.S. Security Clearance. You also need to move to Grand Rapids, MI, but don’t worry, GE will provide comprehensive corporate relocation assistance.

Job Description

Are you a Senior Machine Learning Engineer who loves working on innovative technologies? If so, GE Aerospace Defense and Systems wants you to join their Emerging Technologies team in Grand Rapids, MI. You will be part of a cross-functional team that develops innovative solutions for collaborative autonomous capabilities on custom hardware. You will work on AI/ML projects supporting technology and product development in stores management, cyber security, and sensing and signal processing.

GE Aerospace is a leader in inventing the future of flight. One example is the U.S. Army’s Future Long-Range Assault Aircraft (FLRAA) program (http://www.geaerospace.com/press-release/systems/ge-aerospace-selected-bell-v-280-valor-future-long-range-assault-aircraft) . GE offers competitive salaries and a full range of benefits, including 401K contributions and matching, flexible work arrangements, generous time off, tuition reimbursement, and various health insurance options.

Role Description:

As a Senior Machine Learning Engineer you will play a vital role in designing, developing, and improving new AI/ML technology for our mission-critical technologies and products. You will collaborate with a team of enthusiastic and skilled engineers who share your vision of creating innovative and reliable embedded systems. Along the way, you will investigate concepts from their fundamentals (theoretical and empirical) to their prototype and creation as innovative solutions that change the world. You will develop algorithms and systems that will address needs from design to manufacturing, testing to operation, reliability to replacement. This will also include the opportunity to work on government-sponsored research programs with GE’s external partners in academia and government.

Responsibilities:

Design and Develop Machine Learning Models:

• Create machine learning models for various software development phases, including data exploration, prototyping, integration, testing, and production.

• Craft models that address specific business needs and align with project requirements.

Model Adaptation and Optimization:

• Adapt existing models to work efficiently on heterogeneous compute platforms.

• Refine models for different hardware architectures, considering factors like power consumption and computational resources.

Algorithm Deployment:

• Deploy machine learning algorithms using deep learning and reinforcement learning techniques.

• Leverage tools like ROS2, Docker, TorchServe, and TFX for efficient deployment.

• Evaluate, prototype, and optimize innovative deep learning algorithms and SDKs.

• Ensure software robustness, resilience, and fail-safe operation for critical devices.

Implement Best Practices for Machine Learning:

• Assess and clean data to ensure its quality and suitability for model development.

• Apply industry best practices for model training, deployment, and monitoring.

• Optimize algorithms to meet real-time performance requirements on embedded systems (e.g., FPGAs, CPUs, GPUs).

Model Evaluation and Performance Metrics:

• Evaluate model performance using relevant metrics based on mission criteria.

• Continuously assess and improve models to enhance their effectiveness.

Collaboration and Technology Transition:

• Collaborate with technical and business teams to integrate new technology into the Avionics product portfolio.

• Stay informed about state-of-the-art technologies through continuous learning.

Resource-Constrained Environments:

• Implement protocols and algorithms suitable for resource-constrained environments.

• Collaborate with the hardware team to enable seamless communication between modules and applications.

Business Understanding and Project Delivery:

• Follow established software development methodologies and principles.

• Participate in code and design reviews, mentorship, and documentation.

• Apply best practices for software engineering while understanding key business drivers and the product roadmap.

• Deliver work within project scope, cost, and schedule targets.

• Communicate effectively with stakeholders across all levels of the organization.

Required Qualifications:

• BS + 5 years of experience or MS + 2 years of experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision

• Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems.

• 5+ years of related software engineering experience.

• US Citizen: This role requires use of technical data subject to U.S. Government contract restrictions and this posting is only for U.S. Citizens. GE will require proof of status prior to employment.

• Grand Rapids, MI opportunity - Corporate relocation assistance provided.

Desired Qualifications:

• Ph.D. + 2 years of experience focusing on new advancements in Artificial Intelligence, Machine Learning.

• Deep expertise in one or more of: Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal Inference.

• Experience in writing grant proposals and taking part in the execution of grant-supported research; includes proven successful communication with government agencies such as DARPA, ARL, AFRL, and ONR.

• Extensive publications in peer-reviewed journals and conferences in Computer Vision, Artificial Intelligence, and/or relevant application fields.

• Contribution to public domain codebases and/or significant GitHub portfolio to show mastery and impact.

• Experience working in mission-critical industries (aerospace, automotive, defense, first responder, medical devices) and turning CONOPS, Specifications or Requirements into software design, code, test plans and execution.

• Outstanding written and verbal communication skills.

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

Additional Information

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes