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 manufacturing decision-making and optimization problems.
- Build RL environments, reward functions, policies, evaluation frameworks, and simulation-driven training workflows.
- Train and optimize agents using simulation and operational data, including policy optimization, model-based RL, multi-agent systems, and hierarchical learning.
- Build scalable training, inference, monitoring, retraining, model versioning, observability, and lifecycle-management workflows.
- Partner with software engineers to integrate AI capabilities into production and customer-facing products.
- 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 machine learning systems.
- Strong Python development skills.
- Experience with PyTorch and/or TensorFlow.
- Demonstrated experience developing reinforcement learning solutions and understanding environments, policies, rewards, value functions, and exploration strategies.
- Experience with modern reinforcement learning methods such as PPO, SAC, DQN, and Actor-Critic approaches.
- Experience training and evaluating reinforcement learning 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, discrete-event simulation, simulation-driven learning, combining reinforcement learning with optimization, scheduling, dispatching, operations research, industrial optimization, cloud platforms, Docker, Kubernetes, MLflow, generative AI, LLMs, agent frameworks, RAG, or semiconductor manufacturing.
Benefits
- Comprehensive benefits package and programs supporting employee health, wellbeing, and professional growth.
- Full-time regular position in Santa Clara, California with travel required 10% of the time.
- Relocation is not available for this role.
- Candidates may be eligible for bonus and stock award programs, as applicable.
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.