AI/ML Engineer
Applied Materials1 day ago
Base Salary
$184k - $253k/yr
Responsibilities
- Design, train, evaluate, and deploy machine learning and deep learning models.
- Develop reinforcement learning solutions for scheduling, dispatching, planning, resource allocation, and other complex decision-making problems.
- Build RL environments, reward functions, policies, and evaluation frameworks.
- Train and optimize agents using simulation environments and operational data.
- Explore policy optimization, model-based RL, multi-agent systems, and hierarchical learning.
- Build scalable training, inference, monitoring, and retraining workflows.
- Integrate AI capabilities into production and customer-facing products with software engineering partners.
- Contribute to MLOps, experiment tracking, model versioning, observability, and lifecycle management.
- Research and prototype generative AI, agentic AI, LLM, RAG, and multi-agent-system technologies.
- Collaborate with data scientists, software engineers, cloud architects, and semiconductor domain experts.
Requirements
- Strong foundations in machine learning and deep learning.
- Hands-on experience building and deploying production ML systems.
- Strong Python development skills.
- Experience with PyTorch and/or TensorFlow.
- Demonstrated experience developing reinforcement learning solutions.
- Strong understanding of RL environments, policies, rewards, value functions, and exploration strategies.
- Experience with modern RL methods such as PPO, SAC, DQN, and Actor-Critic.
- Experience training and evaluating RL agents in simulation environments.
- Ability to formulate complex optimization problems as reinforcement learning problems.
- Experience with Git, testing, code reviews, CI/CD, and production software development.
- Preferred: experience building AI agents or autonomous decision-making systems.
- Preferred: experience with discrete-event simulation, simulation-driven learning, or combining RL with optimization techniques.
- Preferred: knowledge of scheduling, dispatching, operations research, or industrial optimization.
- Preferred: experience with Azure, AWS, Google Cloud, Docker, Kubernetes, or MLflow.
- Preferred: experience with generative AI, LLMs, agent frameworks, or RAG.
- Semiconductor manufacturing experience is a plus.
Benefits
- Comprehensive benefits package and programs supporting employee health, wellbeing, learning, and professional growth.
- Full-time regular position in Santa Clara, California.
- Travel is required 10% of the time.
- Relocation is not available for this role.
Categories
About Applied Materials
Applied Materials builds semiconductor and display manufacturing equipment and related materials engineering technologies used by chip and flat-panel makers. It sells capital tools, process technology, and lifecycle services and software to support high-volume wafer fabrication and display production worldwide. Founded in 1967 and headquartered in Santa Clara, California, the company is publicly traded on NASDAQ under the ticker AMAT.