AI Computer Vision Intern
Orlando, Florida (FL), US
Building the people that build the world.
With platforms in HVAC and Detection and Measurement, SPX Technologies builds innovative solutions that enable a safer, more efficient, sustainable world. Through our RiSE talent development framework, we Reach, Identify, Strengthen, and Engage our employees to support them in their continued development. We’re a global company of problem solvers, collaborators, and innovators, and our businesses build solutions that impact the world.
As part of Detection and Measurement, CUES is the world’s leading developer of water, wastewater, and storm water inspection equipment. With CCTV cameras, pre-built vehicles, and software for pipeline inspection and rehabilitation, we improve the safety and reliability of our water infrastructure systems.
How you will make an Impact (Job Summary)
SPX is a diverse team of unique individuals who all make an impact. As a Computer Vision Intern, you will assist the Software team in efforts to improve existing AI systems and processes. The role offers a variety of opportunities including analyzing existing AI infrastructures, training and testing existing AI models, and identifying where AI can be introduced into existing workflows as well as performing analysis in existing environments, assisting in the design and development of AI driven systems, and performing analysis for quality assurance and production operations.
What you can expect in this role (Job Responsibilities)
While each day brings new opportunities at SPX, your core responsibilities will be:
- Analysis and Testing
- Analyzing and understanding our existing code base
- Analyzing existing AI architecture
- Testing and training AI models
- Finding areas for improvement and implementing those changes
- Continuous Improvement and Team Support
- Support one or more experienced employees in assignments
- Shadow existing operations processes to identify areas for improvements
- Participate in teams and collaborate on larger projects
What we are looking for (Experience, Knowledge, Skills, Abilities, Education)
We each bring something to the table, and we are looking for someone who has:
Required Experience
- Student working towards a Bachelor’s degree in Computer Science, Mathematics, or other AI related field
- Candidates must have completed their second year of college studies
- Cumulative GPA of 3.0 or above
- Must be authorized to work in US
Preferred Experience, Knowledge, Skills, and Abilities
- Working knowledge or exposure to Computer Vision or Object Detection systems
- Working knowledge or exposure to AWS Machine learning pipelines
- Experience in Visual Studio
- Experience in Python or C++
- Experience with Data Analytics
- Experience in SQL
- Experience with MMDetection library
How we live our culture
Our culture is at the center of what we do and, more importantly, who we are. Our core values set a standard for how we manage ourselves, and our Leadership Model sets the standard for how we engage with each other. Whether you are an individual contributor or you lead a large team, each of us leads at SPX.
What benefits do we offer?
We know that the well-being of our employees is integral. Our benefits include:
- Generous and flexible paid time off including paid personal time off, caregiver, parental, and volunteer leave
- Competitive health insurance plans and 401(k) match, with benefits starting day one
- Competitive and performance-based compensation packages and bonus plans
- Educational assistance, leadership development programs, and recognition programs
Our commitment to embrace diversity to build a culture of inclusion at SPX
We value different backgrounds, experiences, and voices at SPX, and we are committed to challenging ourselves, openly communicating, and striving to improve every day. We believe in creating an inclusive work environment where everyone has a voice and is encouraged to realize their fullest potential.
SPX is an affirmative action and equal opportunity employer committed to making selection decisions without regard to race, color, religion, sex, sexual orientation or identity, national origin, age, disability, veteran status, or any other legally protected basis.