Machine Learning Engineer

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 Machine Learning Engineer, you will develop AI models and automation. You will be responsible for the creation of robust models that increase accuracy, speed, and ease of inspections.

What you can expect in this role (Job Responsibilities)

While each day brings new opportunities at SPX, your core responsibilities will be           :

1. Model Development & Training

• Design, implement, and optimize deep‑learning models using tools such as YOLOv_, Faster R‑CNN, Mask R‑CNN, PyTorch, for multi‑class defect detection, segmentation, and severity grading of imagery.
• Curate, Manage, and augment large video / image datasets; define labeling guidelines and manage annotation workflows (Labelbox, etc.).
• Design custom metrics to evaluate model performance in the field
• Tune hyper‑parameters, perform ablation studies, and apply automated model‑selection / NAS techniques to maximize precision‑recall under real‑time constraints.

2. Deployment & MLOps

• Convert and optimize models for embedded inference using tool such as TensorRT, ONNX, NVIDIA Jetson, Intel OpenVINO.
• Build reproducible training / CI‑CD pipelines with Docker, GitHub Actions, PyTorch Lightning, and MLflow; automate experiment tracking and model registry.
• Collaborate with robotics engineers to integrate models into the real-world systems.

3. Bonus Computer Vision

• Integrate non-depth-camera and depth‑camera inputs to enhance 3‑D localization of defects; implement calibration, rectification, triangulation, and point‑cloud fusion pipelines.

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

• 5+ of professional software experience, including 3+ years focused on deep learning / computer vision.
• Proven record of shipping CV/ML models into production on robotic, embedded, or edge‑AI platforms.
• Hands‑on experience with object detection and segmentation architectures (YOLO, DETR, EfficientDet, etc.).

Preferred Experience, Knowledge, Skills, and Abilities

• Proficiency in Python and comfort with at least one systems language (e.g., C++, Rust)
• Fluency in Linux development, Git‑based workflows, CMake, and containerization (Docker/Podman).
• Excellent verbal and written communication skills in English; able to convey complex ML concepts to cross‑functional audiences.
• Ability to travel occasionally (domestic and international) to test sites and customer locations.
• Strong understanding of camera physics, image formation, stereo geometry, and depth estimation.
• Experience with 3‑D reconstruction, point‑cloud processing (PCL, Open3D), or LiDAR fusion.

Education & Certifications

• Bachelor’s in Computer Science, Computer Engineering, or Electrical Engineering required.
• Master’s in Computer Science, Computer Engineering, or Electrical Engineering preferred.

Travel & Working Environment

• Travel up to 10%
• Hybrid Role, Minimum 3 days in office per week.

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.