Job Description
Senior Applied Machine Learning Engineer, Asset Intelligence Join a team that is reshaping the future of industrial operations through advanced intelligence, real time insights, and practical AI. This role centers on building systems that empower frontline and maintenance teams in environments where physical assets, complex equipment, and nonstop activity define the workday. You will contribute to a platform that blends connected devices, cloud scale architecture, and modern AI models to improve reliability, safety, and efficiency across large industrial networks. The Opportunity We are searching for a seasoned Applied Machine Learning Engineer who thrives at the crossroads of predictive modeling, large scale data systems, and product impact. You will serve as a technical leader for Asset Intelligence initiatives that transform raw telemetry and operator feedback into intelligent, anticipatory workflows. This work supports predictive maintenance, real world anomaly detection, actionable recommendations, and new forms of automated reasoning that help physical operations run smoothly. You will shape the foundation of next generation AI capabilities for a fast growing industrial technology platform. Your contributions will influence architecture, model design, team development, and long term strategy for predictive and generative intelligence used across thousands of operational sites. What You Will Lead Guide the strategic direction for machine learning programs focused on predictive maintenance, anomaly detection, and intelligent reasoning for equipment and operational workflows. Design and implement complete ML pipelines, including ingestion of sensor readings and operational data, feature creation, training, deployment, and continuous monitoring. Support and mentor a growing team of engineers by promoting thoughtful experimentation, rigorous evaluation, and high quality lifecycle management. Collaborate closely with product and engineering leaders to transform customer needs into intelligent solutions that deliver measurable value. Create systems that connect field feedback with telemetry streams in order to refine, retrain, and elevate model performance over time. Improve inference performance and scalability through quantization, distillation, and modern serving frameworks. Build AI driven reasoning tools and agent style systems using LLM platforms such as Hugging Face, LangChain, or similar frameworks. Ensure that all ML infrastructure operates with strong guarantees related to latency, reliability, clarity, privacy, and security. About You Seven or more years working in Machine Learning, Applied AI, or Data Science with a focus on bringing models into production. Strong command of Python and deep familiarity with tools such as PyTorch, TensorFlow, and cloud based ML platforms. Experience delivering ML systems that operate at scale for real users in real environments, not only research prototypes. Background in LLMs, time series modeling, and anomaly detection based on noisy or incomplete industrial data. Ability to influence architectural decisions, communicate across disciplines, and support the growth of technical teams. Knowledge of MLOps tools including Docker, Kubernetes, MLflow, Weights and Biases, or similar systems. Advanced degree in a technical discipline is preferred. Additional Strengths Experience with OCR and structured data extraction. Applied expertise in predictive maintenance or real world time series analysis. Familiarity with industrial IoT environments including telemetry systems and edge computing. Knowledge of reinforcement learning or agent based architectures designed for operational decision making. Contributions to open source ML projects or research related to reliability, interpretability, or digital twins. What You Can Expect Competitive compensation paired with meaningful equity participation. Comprehensive medical, dental, and vision benefits. Retirement program enrollment. Flexible paid time off that supports life, rest, and personal balance. A culture defined by curiosity, empathy, and drive, where thoughtful work is celebrated and ideas have real influence. Our Mission We create technology that supports the people who keep physical operations running. Most of the global workforce operates away from a desk, and we build tools that help these professionals care for equipment, manage processes, and collaborate with confidence. We welcome applicants from all backgrounds. We believe that varied perspectives strengthen teams and lead to better outcomes. All qualified candidates will be considered without regard to personal identity or background. <