Business Segment: Digital Predix Products & Technology
Location(s): United States ; Washington, California; Redmond, San Ramon
About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. 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.
Role Summary: Do you have a deep technical passion and enjoy pushing the limits? Do distributed systems excite you? Do you dream in microservices? Can you solve a linear regression problem before your first cup of coffee? Are you a seasoned technologist who is looking to build a platform that will interact with hundreds of millions of IoT devices and have a ubiquitous eﬀect on our lives and the world?
Essential Responsibilities: The GE Predix Digital Twin team is looking for a full stack Staff Software engineer to help build the next generation machine learning platforms and applications. We are looking for smart, enthusiastic, and friendly technologists to design, implement, support, and grow the tools our developers and customers use nearly every minute of their day.
In this role, you will:
Work with product leaders to understand requirements and vision
Collaborate with colleagues from Product, Data Science and Architecture groups to distill system requirements and socialize designs.
Engage with your peers to build the best possible product through regular code review, technical whiteboard, and design sessions
Own product level features and deliver awesome code with speed and quality
Create robust APIs that expose cutting-edge machine learning capabilities
Build intuitive tools for experts in the field to create production grade machine learning solutions
Evaluate new technologies and methods that would be useful to the team
Be a steward of standards and the state of the art for your colleagues and team members
Establish trust across the organization and grow into an inspiring leader in the domain of machine learning
We are in the process of transitioning to an improved job application system and in the interim we are operating with two systems. Have your Job ID ready (from the email you received when you applied) to log in and check your application status.
Click the appropriate button. If you don't know your job ID, you can still check your status: use both buttons.