制造测试工程实习生，AI

Learn the MTE role and responsibilities end-to-end: supply chain test strategy, test coverage design and validation, tester hardware and software, bring-up and qualification, and continual improvement in mass production.

Learn the MTE workflow end-to-end, from test requirements through test development to tester qualification, and identify where automation would have the most impact.

Design, build, and deploy AI tools and agents, including prompt and agent design, tool and data integration, evaluation, and iteration based on engineer feedback.

Build data pipelines and analysis on manufacturing test data, and develop anomaly detection that surfaces test risks and unusual behaviors early.

Validate your tool's output against real test data; manufacturing test results are quality-critical, so accuracy needs to be demonstrated, not assumed.

Define what success looks like for your project (costs saved, test time reduced, risks caught earlier) and measure your results against it.

Partner with cross-functional engineering teams and present your findings, demos, and recommendations to the team.

Currently has, or is in the process of obtaining, a Bachelors or Masters in Electrical Engineering, Computer Engineering, Computer Science or related field

Proficiency in a programming language such as Python, including scripting and data handling

Hands-on experience using AI tools, and experience building with AI such as agents, LLM-based automations, or AI-integrated applications

Experience with data analysis (Pandas, SQL or equivalent) and drawing conclusions from noisy, real-world data

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Experience in EE or computer engineering fundamentals, and coursework or project experience in hardware test, instrumentation, measurement, or embedded systems

Exposure to manufacturing or quality engineering concepts: statistical process control, Cpk, GRR, yield and retest analysis, design of experiments

Experience with agentic frameworks, retrieval-augmented generation, tool-calling architectures, or model evaluation

Experience with anomaly detection, time-series analysis, or applied machine learning on engineering or sensor data

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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Take the first step toward a rewarding career at Meta.

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Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Currently has, or is in the process of obtaining, a Bachelors or Masters in Electrical Engineering, Computer Engineering, Computer Science or related field

Proficiency in a programming language such as Python, including scripting and data handling