This role pays less than
78%
of similar roles. Most pay
$187,175–$254,750
— the shaded band above.
At the midpoint, this role pays about
$183k
versus about
$221k
for comparable roles.
Based on 240 similar postings.
Employer
About Siemens Healthineers
Siemens Healthineers is a leading global medical technology company, headquartered in Germany, that provides imaging, diagnostics, and artificial intelligence-driven solutions to healthcare providers.
Siemens Healthineers currently has
22 open roles
on FindRole.
Listed pay typically runs
$124,200–$170,775
across 22 roles with salary data.
AI/ML Scientist – Reinforcement Learning, Simulation & Optimization joins the Digital Technology & Innovation organization to develop next-generation AI systems for healthcare operations. The role focuses on creating intelligent simulation environments and digital twin technologies to optimize complex workflows such as patient flow, resource allocation, scheduling, and capacity management. You will design reinforcement learning algorithms, conduct original research in sequential decision-making and combinatorial optimization, and translate large-scale healthcare datasets into actionable policy-learning solutions. Key technical requirements include proficiency in Python and modern machine learning frameworks like PyTorch, TensorFlow, or JAX. The work involves solving practical problems in clinical settings by building scalable, production-ready systems that improve operational efficiency. Candidates will collaborate with multidisciplinary teams to integrate advanced optimization and simulation technologies into digital health platforms while contributing to scientific publications and patents within the healthcare domain.
Design and develop reinforcement learning, simulation, and optimization algorithms for healthcare operational twinning applications.
Build intelligent decision-making systems to optimize scheduling, patient flow, triage, staffing, and resource utilization.
Develop AI-driven simulation environments and workflow models that represent real-world clinical and operational systems.
Conduct original research in reinforcement learning, sequential decision-making, and hybrid AI-operations research methods.
Translate large-scale healthcare datasets into actionable optimization and policy-learning solutions.
Prototype, evaluate, and validate novel algorithmic approaches for feasibility, scalability, and explainability.
Integrate advanced optimization and simulation technologies into Siemens Healthineers’ digital health platforms.
Publish scientific research and contribute to patents regarding operational AI and healthcare optimization.
What we're looking for
Ph.D. in Computer Science, Applied Mathematics, Operations Research, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical field.
Hands-on experience in reinforcement learning, sequential decision-making systems, or simulation-based optimization.
Experience developing optimization algorithms, operational AI systems, or digital twin and simulation environments.
Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Ability to translate complex real-world operational problems into scalable AI-driven solutions.
Strong technical communication skills with demonstrated research contributions through publications, patents, or applied projects.
Experience with digital twins, world models, autonomous systems, or operations research including combinatorial optimization and control theory.
Machine Learning
Deep Learning
Python
PyTorch
TensorFlow
Foundation Models
Vision-Language Models
Signal Processing
Medical Imaging
Data Strategy
Clinical Validation
SaMD
Python
PyTorch
JAX
TensorFlow
Reinforcement Learning
RLHF
LLM Agents
Kubernetes
Ray
Slurm
CUDA
ROCm
HIP
Distributed Systems
Data Pipelines
Model Serving
Compiler Optimization
Profiling
Hardware Engineering
Remote (Mountain View, CA)+48 days ago
$70,350–$205,800
Machine Learning
Deep Learning
Natural Language Processing
Data Analysis
Statistics
Conversational AI
Speech-to-Text
Text-to-Speech
Chatbot
Multi-agent Architectures