LuxTronic Corporation · 22 hours ago
Principal Applied Machine Learning & Systems Engineer
Denver Metropolitan Area
Full-time
Hybrid
Lead/StaffLuxTronic Corporation builds AI-powered inspection and production monitoring systems to help manufacturers run smarter. They are seeking a Principal Applied Machine Learning & Systems Engineer to design, deploy, and operate production-grade ML systems in real industrial environments, with a focus on reliability, latency, and uptime.
Industrial Automation
Responsibilities
Design and implement ML models for industrial use cases, including predictive maintenance, anomaly detection, quality inspection, and process optimization
Build models resilient to noisy, incomplete, and high-variance industrial data
Develop using modern ML frameworks (PyTorch, TensorFlow, ONNX) and deploy across:
Edge and embedded systems
On-prem industrial servers
Cloud and hybrid infrastructure
Validate model performance under operational constraints (latency, vibration, temperature, sensor drift)
Implement fail-safes, fallback logic, and degradation strategies for mission-critical systems
Deploy ML systems using Docker, Kubernetes, and CI/CD pipelines (GitHub Actions)
Build and maintain real-time and batch inference pipelines with strict reliability and latency requirements
Integrate ML services with industrial control systems (PLCs, SCADA, edge controllers)
Develop secure, low-latency APIs to enable ML integration in industrial environments
Optimize models for performance and efficiency using quantization, pruning, and edge-optimized inference runtimes
Balance accuracy, throughput, and resource constraints across heterogeneous hardware
Ensure sub-second decision-making where required by industrial processes
Monitor deployed models for drift, degradation, and infrastructure issues
Build dashboards and alerts using Grafana or similar tools
Troubleshoot live production issues involving hardware, networking, data quality, and model behavior with minimal operational impact
Partner with industrial engineers and operations teams to translate factory requirements into ML solutions
Participate in quarterly on-site visits to assess deployment environments and optimize systems in place
Own ML systems from design through long-term operation
Anticipate failure modes and proactively mitigate risk
Deliver high-quality outcomes under real-world constraints and tight timelines
Define ML architecture and deployment patterns across multiple industrial sites
Establish best practices for model lifecycle management, deployment, and monitoring
Lead technical tradeoffs between accuracy, latency, reliability, and cost
Review designs and implementations across multiple ML initiatives
Mentor senior engineers and raise overall engineering standards
Act as technical authority during high-severity production incidents
Other duties as assigned
Qualification
Required
Strong Python expertise for ML and production systems
Deep experience with ML frameworks (PyTorch, TensorFlow, ONNX)
Proven experience deploying ML in industrial, edge, or embedded environments
Experience with Docker, CI/CD pipelines, and GitHub Actions
Proficiency with Ubuntu/Linux and Bash scripting
Experience building APIs using AWS services (API Gateway, Lambda, SageMaker)
Familiarity with industrial protocols (Modbus, OPC UA) and factory systems (PLCs, SCADA)
Experience monitoring production systems using Grafana or similar tools
Strong real-time debugging and problem-solving skills
Willingness to travel quarterly and sustain a demanding workload
AWS IoT Core / Greengrass experience
Edge inference optimization (TensorRT, OpenVINO, Jetson)
Prior experience in manufacturing, robotics, or industrial automation
Preferred
Production-first
Edge-aware
Reliability-driven
Hands-on and accountable
Benefits
Medical
Dental
Vision
Long-Term Disability
Life Insurance
Company
LuxTronic Corporation
LuxTronic builds ML-powered computer vision systems that are bringing the power of AI to mass conveyance applications.
Founded in 2019Greenwood Village, Colorado, US
2-10 employees
Funding
Current Stage
Early StageLeadership Team
David Sobernheim
Co-founder, LuxTronic Corporation
James C. Evans
Founder & Executive Chairman
Company data provided by crunchbase