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Google Materials Phd Jobs (NOW HIRING)

Senior Epitaxy Metrology Engineer, Raxium

Fremont, CA · On-site

$114K - $157K/yr

Master's degree or PhD in Chemical Engineering, Material Science, Physics, or a specialized field ... Google's Raxium display group has established a revolutionary semiconductor materials display ...

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus Skills:

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus Skills:

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus Skills:

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus Skills:

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Google Materials Phd information

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$10

$20

$42

How much do google materials phd jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for google materials phd in the United States is $20.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.88 per hour, depending on experience, location, and employer.

What level do PhDs get hired at Google?

PhDs are typically hired at Google at levels corresponding to their experience and research expertise, often starting at level 7 or higher for research scientist or staff roles. Advanced degrees can accelerate entry into senior or specialized positions, especially in research, engineering, or technical leadership roles.

What is the difference between Google Materials Phd vs Google Materials Engineer?

CriteriaGoogle Materials PhdGoogle Materials Engineer
Required credentialsPhD in Materials Science or related fieldBachelor's or Master's in Materials Science or Engineering
Work environmentResearch-focused, academic or lab settingProduct development, engineering teams, corporate environment
Employer and industry usageResearch institutions, academia, R&D divisionsTech companies, manufacturing, product design
Common search and comparison intentUnderstanding research roles and qualificationsUnderstanding engineering roles and responsibilities

The Google Materials Phd typically involves advanced research and academic work in materials science, requiring a PhD. In contrast, the Google Materials Engineer focuses on applying materials knowledge to develop and improve products within a corporate setting. Both roles are essential in the materials industry but differ mainly in their focus on research versus application.

Does Google hire PhDs?

Google hires PhDs for research, engineering, and specialized roles across various teams, often valuing advanced degrees in fields like computer science, engineering, and related disciplines. Candidates typically need strong technical skills, research experience, and a track record of innovation or publication.

What can I do with a PhD in materials Science?

A PhD in materials science prepares individuals for research and development roles in industries such as aerospace, electronics, energy, and manufacturing. Graduates often work as research scientists, materials engineers, or product developers, utilizing skills in characterization techniques, laboratory work, and data analysis. Advanced knowledge of materials properties and processing enables innovation in creating new materials and improving existing ones.
Infographic showing various Google Materials Phd job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $43,581 per year, or $21 per hour.

AI Engineer, Advanced Solutions Lab, Google Cloud

Google

Chicago, IL • On-site

Full-time

Posted 18 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 188 rated software companies


Job description

Job Summary:
Google is a leading technology company, and they are seeking an AI Engineer for their Advanced Solutions Lab. The role focuses on delivering and evolving a sophisticated Machine Learning and Generative AI curriculum for global participants, while also working directly with customers to apply innovative AI solutions to high-impact business challenges.
Responsibilities:
• Drive the Advanced Solutions Lab by delivering content, identifying machine learning (ML) experts across Google to support specific sessions, and providing ongoing curriculum enhancements.
• Lead and support customers' machine learning projects from framing to implementation in the Advanced Solutions Lab.
• Design artificial intelligence (AI)/machine learning (ML) curriculum by analyzing market trends and customer needs, developing materials in collaboration with cross-functional Google experts.
• Stay abreast of machine learning developments and network across the Google Cloud research community to provide Advanced Solutions Lab participants with up-to-date knowledge and opportunities for engagements with other machine learning experts.
• Serve as a machine learning subject matter expert for Google Cloud Consulting, supporting activities like client-facing services, intellectual property (IP) development, public speaking, and running machine learning bootcamps.
Qualifications:
Required:
• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
• 3 years of experience building production artificial intelligence (AI) and machine learning (ML) models or agentic solutions models for use cases (e.g., tabular data, images, video, speech, and unstructured text) with TensorFlow, Keras, JAX, Spark ML, or Scikit Learn.
• Experience conducting data and machine learning (ML) technical training in a client-facing technical consulting role.
• Experience architecting cloud solutions on Google Cloud Platform or other public cloud models.
Preferred:
• Master's degree or PhD in Computer Science, Mathematics, or other quantitative field, or equivalent practical experience.
• Experience in machine learning (ML).
• Experience working in a technology area.
• Experience taking on new material and delivering it to clients and students.
• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive).
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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