Senior Applied Scientist, Industrial Robotics Group
Core
Develop AI and machine learning systems for real-time manufacturing flow decisions and adaptive production control at unprecedented scale.
Role type
Senior Applied Scientist (Industrial Robotics)
Builds
Adaptive production control systems and intelligent manufacturing infrastructure
Domain
Industrial automation, advanced manufacturing, optimization
Deliverable
production ML models
Required skills
combinatorial optimization, reinforcement learning, constraint programming, stochastic modeling, C/C++, Python, Java, Perl, rigorous experimental design, reproducible baselines
Preferred skills
manufacturing systems, production scheduling, supply chain optimization, Theory of Constraints, sim-to-real transfer, physics-informed machine learning, AWS SageMaker, MLOps, MES/SCADA/ERP
Technologies
C, C++, Python, Java, Perl, AWS SageMaker
Responsibilities
Invent new algorithms for constraint identification and dispatch optimization; design and deliver complex solutions for real-time manufacturing flow optimization; build ML models for constraint prediction and starvation risk forecasting; write critical-path scientific code; execute rigorous experimentation to bridge simulation and real environments; build evaluation benchmarks for throughput and constraint utilization; influence team science and business strategy; mentor other scientists; document scientific solutions.
Seniority
Senior, hands-on IC with mentorship