Principal Member of Technical Staff, AI

Environmental Solutions Group stands at the forefront of sustainable innovation, dedicated to transforming the waste industry with eco-friendly equipment and technology solutions designed to improve the lives of customers and their communities. This Connected Collections® ecosystem integrates advanced technology across brands including Heil® refuse collection vehicles, Marathon® Equipment compaction and recycling equipment, 3rd Eye® technology solutions, Soft-Pak® waste hauler software, Curotto-Can® automated carry cans, Bayne® lifting products, and Parts Central® OEM parts.

About the role

The Principal Member of Technical Staff, AI serves as a senior technical leader responsible for driving the architecture, development, and deployment of advanced artificial intelligence solutions across Environmental Solutions Group. This role blends deep technical expertise with strategic vision, guiding the organization in leveraging AI to enhance product capabilities, optimize operations, and create innovative, data-driven solutions.

Responsibilities

• Lead the design, development, and implementation of advanced AI and machine learning models for embedded, cloud, and edge-based systems.
• Architect scalable AI platforms, pipelines, and frameworks that support production-grade deployment across multiple product lines.
• Drive enterprise-grade AI strategy leveraging the AWS AI/ML stack, including SageMaker, Bedrock for GenAI orchestration, and GroundTruth for high-fidelity data labeling.
• Engineer mission-critical Edge AI solutions for Ambarella CV2 SoCs, utilizing the CVflow engine to balance high-accuracy inference with processing bottlenecks.
• Architect and lead the deployment of Autonomous Learning Platforms, implementing automated MLOps pipelines for Continuous Training (CT) to address real-world performance drift.
• Establish and govern standardized code libraries for Multi-Object Tracking (MOT), optimizing YOLO and FairMOT frameworks for high-density environmental monitoring.
• Partner with product, engineering, and executive leadership to define AI strategy, roadmap, and technical standards.
• Conduct research and evaluate emerging AI technologies, tools, and methodologies to drive innovation and competitive advantage.
• Lead root-cause analysis and resolution of complex AI-related technical challenges.
• Establish best practices for responsible AI, model governance, and system reliability.
• Mentor and coach engineers, fostering a culture of technical excellence and continuous learning.
• Represent the organization as a subject-matter expert in AI at internal and external technical forums.

Requirements

• Bachelor’s Degree or equivalent experience is required; Master’s or Ph.D. in Computer Science, AI/ML, Data Science, or related field preferred.
• 10+ years of experience in AI/ML engineering.
• Proven expertise in machine learning, deep learning, computer vision, and natural language processing.
• Strong proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, ONNX, or similar.
• Demonstrated experience architecting and deploying AI systems in production AWS environments.
• Solid understanding of cloud platforms, MLOps, and scalable data pipelines.
• Experience with embedded AI, edge computing, or real-time inference systems is highly desirable.
• Strong analytical, problem-solving, and communication skills.
• Ability to influence technical direction at an organizational level and lead cross-functional initiatives.
• Track record of innovation, patents, publications, or contributions to open-source AI projects is a plus.

Skills

• Ethics and Work Standards: Maintain the highest ethical and work standards, while promoting the same attributes in co-workers and others.
• Communication: Expresses thoughts clearly, both orally and in writing, using good grammar. Presents concise, well-organized reports in Microsoft Word, PowerPoint, and Excel. Listens to understand input, feedback, and concerns.
• Teamwork and Relationships: Works with other employees willingly and in a spirit of cooperation and teamwork. Demonstrates a commitment to the entire business and supports initiatives to help grow Environmental Solutions Group.
• Continual Improvement and Problem Resolution: Identifies and communicates suggestions for work improvements. Uses technical and analytical abilities to assure efficient and cost-effective work practices. Performs root-cause analysis and implements viable, permanent solutions.
• Accountability: Accepts responsibility for both the strategic planning and the successful implementation of all projects, programs, and duties. Advises supervisor of concerns, problems, and progress of work in a timely manner.

Benefits

• Paid vacation
• 401(k)
• Medical, dental, and vision coverage