The group you’ll be a part of

The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.

The impact you’ll make

Join Lam as an AI/ML Engineer, where you will design, develop, and program methods to analyze unstructured and diverse big data and transform it into actionable insights. You will develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and clearly communicating actionable insights enables Lam to make informed, data-driven decisions.

What You’ll Do

Work with various stakeholders, Subject Matter Experts (SMEs), and customers to identify product requirements.
Design the backend architecture using domain-driven design principles. Involve SMEs in the design loop to ensure domain accuracy and relevance.
Write and execute tests, and debug issues in both front-end and back-end code.
Set up environments, automate deployments, monitor performance, and perform regular updates.
Collaborate with cross-functional and cross-cultural teams to develop productivity products.

Who We’re Looking For

Ph.D with 3+ years of experience with a degree in Data Science, Materials Science, Electrical Engineering, Mechanical Engineering, Optics, Physics, Chemistry, or Chemical Engineering
Experience with mathematical modeling and statistical analysis techniques.
Experience working with relational and non-relational databases such as SQLite, MySQL, or PostgreSQL.
Experience with programming languages such as Python, and C++
Product Development, hardware design, and productivity
Strong communication skills and a collaborative, and a team-oriented mindset.

Preferred Qualifications

Experience with domain-driven design and test-driven development.
Familiarity with software development best practices in team settings, including version control (Git), documentation, and unit testing.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Salary

CA San Francisco Bay Area Salary Range for this position: $119,000.00 - $261,000.00.

The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

Our Perks And Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Lam Research

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AI/ML Engineer