If you’re looking for an exciting opportunity to work at the intersection of artificial intelligence and advanced semiconductor technology, Applied Materials is hiring an ML Engineer in Santa Clara, California. This role offers the chance to build and deploy machine learning solutions that power next-generation manufacturing technologies while collaborating with world-class engineers and researchers. With a competitive salary of up to $180K, this is an excellent opportunity for professionals who want to make a meaningful impact in a leading global technology company.
Job Overview
| Field | Details |
|---|---|
| Company Name | Applied Materials |
| Role | ML Engineer |
| Qualification | Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Electrical Engineering, or a related technical field (or equivalent experience) |
| Job Location | Santa Clara, California, USA |
| Salary | Up to $180,000 per year |
| Work Type | Hybrid / On-site (based on business requirements) |
| Job Type | Full-Time |
| Job Level | Entry Level to Senior |
| Industry | Semiconductor Manufacturing & Technology |
Job Description
- Develop, pretrain, fine-tune, and align LLMs and generative models tailored for scientific and materials science data, literature, and workflows.
- Innovate post-training methods, alignment, and evaluation for domain-specific LLMs, ensuring models are robust, accurate, and trustworthy for scientific use cases.
- Design and implement generative approaches to accelerate materials discovery, hypothesis generation, and hardware design.
- Collaborate with scientists, engineers, and cross-functional teams to identify impactful applications of generative AI in materials science.
- Build and curate scientific datasets, benchmarks, and evaluation protocols for model validation and continuous improvement.
- Stay current with advances in AI, machine learning, and materials science, and publish original research in top venues.
- Mentor junior team members and contribute to a collaborative, inclusive research culture.
TECHNICAL SKILLS:
- Strong background in machine learning, deep learning, NLP, and generative AI, with a focus on scientific or technical domains.
- Hands-on experience with LLM pretraining, supervised fine-tuning (SFT), post-training alignment (e.g., RLHF), and rigorous model evaluation.
- Proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Experience working with structured and unstructured scientific data (e.g., literature, experimental results, simulation outputs) and developing domain-specific models.
- Excellent communication skills, with the ability to collaborate across disciplines and present complex ideas to diverse audiences.
REQUIREMENTS/EDUCATION:
- MS or Ph.D. degree in Computer Science, Computer Engineer, Electrical Engineer, Mathematics, Statistics or related field
Selection Process
- Submit the online application.
- Resume and profile screening by the recruitment team.
- Initial recruiter phone screening.
- Technical interview focusing on machine learning, coding, and problem-solving.
- Hiring manager and team interviews.
- Final interview (if required).
- Offer discussion and background verification.
How to Apply
- Visit the Applied Materials Careers website.
- Search for the ML Engineer position in Santa Clara, CA.
- Review the job description and eligibility requirements.
- Prepare an updated resume highlighting relevant machine learning and software engineering experience.
- Complete the online application form.
- Upload your resume and any additional requested documents.
- Submit your application and monitor your email for updates from the recruitment team.
